{ "cells": [ { "cell_type": "markdown", "id": "recovered-superintendent", "metadata": { "tags": [] }, "source": [ "# 第8章 日本語 WaveNet 音声合成システムの実装\n", "\n", "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/r9y9/ttslearn/blob/master/notebooks/ch08_Recipe-WaveNet.ipynb)\n", "\n", "Google colabでの実行における推定所要時間: 5時間\n", "\n", "このノートブックに記載のレシピの設定は、Google Colab上で実行した場合のタイムアウトを避けるため、学習条件を書籍に記載の設定から一部修正していることに注意してください (バッチサイズを減らす等)。\n", "参考までに、書籍に記載の条件で、著者 (山本) がレシピを実行した結果を以下で公開しています。\n", "\n", "- Tensorboard logs: https://tensorboard.dev/experiment/yXyg9qgfQRSGxvil5FA4xw/\n", "- expディレクトリ(学習済みモデル、合成音声を含む) : https://drive.google.com/file/d/1cuDxWW0KIUJLzY5Gvk3I_u8VL4bacBq0/view?usp=sharing (135.2 MB)" ] }, { "cell_type": "markdown", "id": "communist-charter", "metadata": {}, "source": [ "## 準備" ] }, { "cell_type": "markdown", "id": "super-terminology", "metadata": {}, "source": [ "### Google Colabを利用する場合" ] }, { "cell_type": "markdown", "id": "oriental-daisy", "metadata": {}, "source": [ "Google Colab上でこのノートブックを実行する場合は、メニューの「ランタイム -> ランタイムのタイムの変更」から、「ハードウェア アクセラレータ」を **GPU** に変更してください。" ] }, { "cell_type": "markdown", "id": "touched-teach", "metadata": {}, "source": [ "### Python version" ] }, { "cell_type": "code", "execution_count": 1, "id": "prerequisite-living", "metadata": { "execution": { "iopub.execute_input": "2021-08-21T07:41:41.080605Z", "iopub.status.busy": "2021-08-21T07:41:41.080314Z", "iopub.status.idle": "2021-08-21T07:41:41.197156Z", "shell.execute_reply": "2021-08-21T07:41:41.196727Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Python 3.8.6 | packaged by conda-forge | (default, Dec 26 2020, 05:05:16) \r\n", "[GCC 9.3.0]\r\n" ] } ], "source": [ "!python -VV" ] }, { "cell_type": "markdown", "id": "gorgeous-friday", "metadata": {}, "source": [ "### ttslearn のインストール" ] }, { "cell_type": "code", "execution_count": 2, "id": "previous-shannon", "metadata": { "execution": { "iopub.execute_input": "2021-08-21T07:41:41.200551Z", "iopub.status.busy": "2021-08-21T07:41:41.200257Z", "iopub.status.idle": "2021-08-21T07:41:42.078786Z", "shell.execute_reply": "2021-08-21T07:41:42.079019Z" }, "tags": [] }, "outputs": [], "source": [ "%%capture\n", "try:\n", " import ttslearn\n", "except ImportError:\n", " !pip install ttslearn" ] }, { "cell_type": "code", "execution_count": 3, "id": "impressed-california", "metadata": { "execution": { "iopub.execute_input": "2021-08-21T07:41:42.083973Z", "iopub.status.busy": "2021-08-21T07:41:42.083694Z", "iopub.status.idle": "2021-08-21T07:41:42.085387Z", "shell.execute_reply": "2021-08-21T07:41:42.085669Z" } }, "outputs": [ { "data": { "text/plain": [ "'0.2.1'" ] }, "execution_count": 1, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import ttslearn\n", "ttslearn.__version__" ] }, { "cell_type": "markdown", "id": "secure-marker", "metadata": {}, "source": [ "## 8.1 本章の日本語音声合成システムの実装" ] }, { "cell_type": "markdown", "id": "tight-marker", "metadata": {}, "source": [ "### 学習済みモデルを用いた音声合成" ] }, { "cell_type": "code", "execution_count": 4, "id": "genetic-beatles", "metadata": { "execution": { "iopub.execute_input": "2021-08-21T07:41:42.087874Z", "iopub.status.busy": "2021-08-21T07:41:42.087588Z", "iopub.status.idle": "2021-08-21T07:44:22.586218Z", "shell.execute_reply": "2021-08-21T07:44:22.586560Z" } }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "8ac29127e47340bb93830fb88cde6e99", "version_major": 2, "version_minor": 0 }, "text/plain": [ " 0%| | 0/37440 [00:00\n", " \n", " Your browser does not support the audio element.\n", " \n", " " ], "text/plain": [ "" ] }, "execution_count": 1, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from ttslearn.wavenet import WaveNetTTS\n", "from tqdm.notebook import tqdm\n", "from IPython.display import Audio\n", "\n", "engine = WaveNetTTS()\n", "wav, sr = engine.tts(\"ウェーブネットにチャレンジしましょう!\", tqdm=tqdm)\n", "Audio(wav, rate=sr)" ] }, { "cell_type": "code", "execution_count": 5, "id": "explicit-commissioner", "metadata": { "execution": { "iopub.execute_input": "2021-08-21T07:44:22.588989Z", "iopub.status.busy": "2021-08-21T07:44:22.588641Z", "iopub.status.idle": "2021-08-21T07:44:22.947691Z", "shell.execute_reply": "2021-08-21T07:44:22.947400Z" } }, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "import librosa.display\n", "import matplotlib.pyplot as plt\n", "import numpy as np\n", "\n", "fig, ax = plt.subplots(figsize=(8,2))\n", "librosa.display.waveplot(wav.astype(np.float32), sr, ax=ax)\n", "ax.set_xlabel(\"Time [sec]\")\n", "ax.set_ylabel(\"Amplitude\")\n", "plt.tight_layout()" ] }, { "cell_type": "markdown", "id": "falling-northern", "metadata": {}, "source": [ "### レシピ実行の前準備" ] }, { "cell_type": "code", "execution_count": 6, "id": "controversial-innocent", "metadata": { "execution": { "iopub.execute_input": "2021-08-21T07:44:22.952627Z", "iopub.status.busy": "2021-08-21T07:44:22.952351Z", "iopub.status.idle": "2021-08-21T07:44:22.956062Z", "shell.execute_reply": "2021-08-21T07:44:22.956287Z" } }, "outputs": [], "source": [ "%%capture\n", "from ttslearn.env import is_colab\n", "from os.path import exists\n", "\n", "# pip install ttslearn ではレシピはインストールされないので、手動でダウンロード\n", "if is_colab() and not exists(\"recipes.zip\"):\n", " !curl -LO https://github.com/r9y9/ttslearn/releases/download/v{ttslearn.__version__}/recipes.zip\n", " !unzip -o recipes.zip" ] }, { "cell_type": "code", "execution_count": 7, "id": "demanding-arcade", "metadata": { "execution": { "iopub.execute_input": "2021-08-21T07:44:22.958487Z", "iopub.status.busy": "2021-08-21T07:44:22.958208Z", "iopub.status.idle": "2021-08-21T07:44:22.959434Z", "shell.execute_reply": "2021-08-21T07:44:22.959702Z" } }, "outputs": [], "source": [ "import os\n", "# recipeのディレクトリに移動\n", "cwd = os.getcwd()\n", "if cwd.endswith(\"notebooks\"):\n", " os.chdir(\"../recipes/wavenet/\")\n", "elif is_colab():\n", " os.chdir(\"recipes/wavenet/\")" ] }, { "cell_type": "code", "execution_count": 8, "id": "quantitative-tongue", "metadata": { "execution": { "iopub.execute_input": "2021-08-21T07:44:22.961352Z", "iopub.status.busy": "2021-08-21T07:44:22.961081Z", "iopub.status.idle": "2021-08-21T07:44:22.962658Z", "shell.execute_reply": "2021-08-21T07:44:22.962368Z" } }, "outputs": [], "source": [ "import time\n", "start_time = time.time()" ] }, { "cell_type": "markdown", "id": "destroyed-radical", "metadata": {}, "source": [ "### パッケージのインポート" ] }, { "cell_type": "code", "execution_count": 9, "id": "accessible-gather", "metadata": { "execution": { "iopub.execute_input": "2021-08-21T07:44:22.966565Z", "iopub.status.busy": "2021-08-21T07:44:22.966145Z", "iopub.status.idle": "2021-08-21T07:44:22.992100Z", "shell.execute_reply": "2021-08-21T07:44:22.991801Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Populating the interactive namespace from numpy and matplotlib\n" ] } ], "source": [ "%pylab inline\n", "%load_ext autoreload\n", "%load_ext tensorboard\n", "%autoreload\n", "import IPython\n", "from IPython.display import Audio\n", "import tensorboard as tb\n", "import os" ] }, { "cell_type": "code", "execution_count": 10, "id": "incorporated-spell", "metadata": { "execution": { "iopub.execute_input": "2021-08-21T07:44:22.994814Z", "iopub.status.busy": "2021-08-21T07:44:22.994455Z", "iopub.status.idle": "2021-08-21T07:44:23.253289Z", "shell.execute_reply": "2021-08-21T07:44:23.252798Z" } }, "outputs": [], "source": [ "# 数値演算\n", "import numpy as np\n", "import torch\n", "from torch import nn\n", "# 音声波形の読み込み\n", "from scipy.io import wavfile\n", "# フルコンテキストラベル、質問ファイルの読み込み\n", "from nnmnkwii.io import hts\n", "# 音声分析\n", "import pyworld\n", "# 音声分析、可視化\n", "import librosa\n", "import librosa.display\n", "import pandas as pd\n", "# Pythonで学ぶ音声合成\n", "import ttslearn" ] }, { "cell_type": "code", "execution_count": 11, "id": "unnecessary-apartment", "metadata": { "execution": { "iopub.execute_input": "2021-08-21T07:44:23.256521Z", "iopub.status.busy": "2021-08-21T07:44:23.255983Z", "iopub.status.idle": "2021-08-21T07:44:23.326939Z", "shell.execute_reply": "2021-08-21T07:44:23.325366Z" } }, "outputs": [], "source": [ "# シードの固定\n", "from ttslearn.util import init_seed\n", "init_seed(773)" ] }, { "cell_type": "code", "execution_count": 12, "id": "polished-plasma", "metadata": { "execution": { "iopub.execute_input": "2021-08-21T07:44:23.336432Z", "iopub.status.busy": "2021-08-21T07:44:23.335067Z", "iopub.status.idle": "2021-08-21T07:44:23.340488Z", "shell.execute_reply": "2021-08-21T07:44:23.339725Z" } }, "outputs": [ { "data": { "text/plain": [ "'1.8.1'" ] }, "execution_count": 1, "metadata": {}, "output_type": "execute_result" } ], "source": [ "torch.__version__" ] }, { "cell_type": "markdown", "id": "hollywood-merchandise", "metadata": {}, "source": [ "### 描画周りの設定" ] }, { "cell_type": "code", "execution_count": 13, "id": "contrary-uganda", "metadata": { "execution": { "iopub.execute_input": "2021-08-21T07:44:23.344858Z", "iopub.status.busy": "2021-08-21T07:44:23.344258Z", "iopub.status.idle": "2021-08-21T07:44:23.348669Z", "shell.execute_reply": "2021-08-21T07:44:23.348053Z" } }, "outputs": [], "source": [ "from ttslearn.notebook import get_cmap, init_plot_style, savefig\n", "cmap = get_cmap()\n", "init_plot_style()" ] }, { "cell_type": "markdown", "id": "cordless-split", "metadata": {}, "source": [ "### レシピの設定" ] }, { "cell_type": "code", "execution_count": 14, "id": "peripheral-baseline", "metadata": { "execution": { "iopub.execute_input": "2021-08-21T07:44:23.355757Z", "iopub.status.busy": "2021-08-21T07:44:23.354689Z", "iopub.status.idle": "2021-08-21T07:44:23.358430Z", "shell.execute_reply": "2021-08-21T07:44:23.357820Z" } }, "outputs": [], "source": [ "# run.shを利用した学習スクリプトをnotebookから行いたい場合は、True\n", "# google colab の場合は、True とします\n", "# ローカル環境の場合、run.sh をターミナルから実行することを推奨します。\n", "# その場合、このノートブックは可視化・学習済みモデルのテストのために利用します。\n", "run_sh = is_colab()\n", "\n", "# 注意: WaveNetを利用した評価データに対する音声生成は時間がかかることに注意\n", "run_stage8 = True\n", "\n", "# run.sh経由で実行するスクリプトのtqdm\n", "run_sh_tqdm = \"none\"\n", "\n", "# CUDA\n", "# NOTE: run.shの引数として渡すので、boolではなく文字列で定義しています\n", "cudnn_benchmark = \"true\"\n", "cudnn_deterministic = \"false\"\n", "\n", "# 特徴抽出時の並列処理のジョブ数\n", "n_jobs = os.cpu_count()//2\n", "\n", "# 継続長モデルの設定ファイル名\n", "duration_config_name=\"duration_rnn\"\n", "# 音響モデルの設定ファイル名\n", "logf0_config_name=\"logf0_rnn\"\n", "# WaveNetの設定ファイル名\n", "wavenet_config_name=\"wavenet_sr16k_mulaw256\"\n", "\n", "# 継続長モデル & 対数F0予測モデルの学習におけるバッチサイズ\n", "dnntts_batch_size = 32\n", "# 継続長モデル & 対数F0予測モデルの学習におけるエポック数\n", "# 注意: 計算時間を少なくするために、少なく設定しています。品質を向上させるためには、30 ~ 50 のエポック数を試してみてください。\n", "dnntts_nepochs = 5\n", "\n", "# WaveNet学習におけるバッチサイズ\n", "# 推奨バッチサイズ: 8以上\n", "# 動作確認のため、小さな値に設定しています\n", "wavenet_batch_size = 4\n", "# WavaNetの学習イテレーション数\n", "# 注意: 十分な品質を得るために必要な値: 300k ~ 500k steps\n", "wavenet_max_train_steps = 50000\n", "\n", "# 音声生成を行う発話数\n", "# WaveNetの推論は時間がかかるので、ノートブックで表示する5つのみ生成する\n", "num_eval_utts = 5\n", "\n", "# ノートブックで利用するテスト用の発話(学習データ、評価データ)\n", "train_utt = \"BASIC5000_0001\"\n", "test_utt = \"BASIC5000_5000\"" ] }, { "cell_type": "markdown", "id": "under-release", "metadata": {}, "source": [ "### Tensorboard によるログの可視化" ] }, { "cell_type": "code", "execution_count": 15, "id": "formal-spiritual", "metadata": { "execution": { "iopub.execute_input": "2021-08-21T07:44:23.363106Z", "iopub.status.busy": "2021-08-21T07:44:23.362515Z", "iopub.status.idle": "2021-08-21T07:44:23.365206Z", "shell.execute_reply": "2021-08-21T07:44:23.364578Z" } }, "outputs": [], "source": [ "# ノートブック上から tensorboard のログを確認する場合、次の行を有効にしてください\n", "if is_colab():\n", " %tensorboard --logdir tensorboard/" ] }, { "cell_type": "markdown", "id": "violent-hartford", "metadata": {}, "source": [ "## プログラム実装の前準備" ] }, { "cell_type": "markdown", "id": "metric-rehabilitation", "metadata": {}, "source": [ "### stage -1: コーパスのダウンロード" ] }, { "cell_type": "code", "execution_count": 16, "id": "dutch-turner", "metadata": { "execution": { "iopub.execute_input": "2021-08-21T07:44:23.369844Z", "iopub.status.busy": "2021-08-21T07:44:23.369247Z", "iopub.status.idle": "2021-08-21T07:44:23.371919Z", "shell.execute_reply": "2021-08-21T07:44:23.371307Z" } }, "outputs": [], "source": [ "if is_colab():\n", " ! ./run.sh --stage -1 --stop-stage -1" ] }, { "cell_type": "markdown", "id": "measured-particular", "metadata": {}, "source": [ "### Stage 0: 学習/検証/評価データの分割" ] }, { "cell_type": "code", "execution_count": 17, "id": "black-martin", "metadata": { "execution": { "iopub.execute_input": "2021-08-21T07:44:23.376191Z", "iopub.status.busy": "2021-08-21T07:44:23.375606Z", "iopub.status.idle": "2021-08-21T07:44:23.378327Z", "shell.execute_reply": "2021-08-21T07:44:23.377724Z" } }, "outputs": [], "source": [ "if run_sh:\n", " ! ./run.sh --stage 0 --stop-stage 0" ] }, { "cell_type": "code", "execution_count": 18, "id": "supposed-adolescent", "metadata": { "execution": { "iopub.execute_input": "2021-08-21T07:44:23.388610Z", "iopub.status.busy": "2021-08-21T07:44:23.381636Z", "iopub.status.idle": "2021-08-21T07:44:23.522309Z", "shell.execute_reply": "2021-08-21T07:44:23.521017Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "dev.list eval.list train.list utt_list.txt\r\n" ] } ], "source": [ "! ls data/" ] }, { "cell_type": "code", "execution_count": 19, "id": "alike-uruguay", "metadata": { "execution": { "iopub.execute_input": "2021-08-21T07:44:23.535810Z", "iopub.status.busy": "2021-08-21T07:44:23.534323Z", "iopub.status.idle": "2021-08-21T07:44:23.697613Z", "shell.execute_reply": "2021-08-21T07:44:23.698885Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "BASIC5000_4574\r\n", "BASIC5000_4575\r\n", "BASIC5000_4576\r\n", "BASIC5000_4578\r\n", "BASIC5000_4579\r\n", "BASIC5000_4580\r\n", "BASIC5000_4582\r\n", "BASIC5000_4583\r\n", "BASIC5000_4584\r\n", "BASIC5000_4585\r\n" ] } ], "source": [ "! head data/dev.list" ] }, { "cell_type": "markdown", "id": "friendly-ideal", "metadata": {}, "source": [ "## 8.2 データの前処理" ] }, { "cell_type": "markdown", "id": "incorrect-express", "metadata": {}, "source": [ "### 継続長モデルのための前処理\n", "\n", "バッチ処理を行うコマンドラインプログラムは、 `recipes/dnntts/preprocess_duration.py` を参照してください。" ] }, { "cell_type": "code", "execution_count": 20, "id": "normal-delay", "metadata": { "execution": { "iopub.execute_input": "2021-08-21T07:44:23.711562Z", "iopub.status.busy": "2021-08-21T07:44:23.710107Z", "iopub.status.idle": "2021-08-21T07:44:23.714648Z", "shell.execute_reply": "2021-08-21T07:44:23.716111Z" } }, "outputs": [], "source": [ "if run_sh:\n", " ! ./run.sh --stage 1 --stop-stage 1 --n-jobs $n_jobs " ] }, { "cell_type": "markdown", "id": "fatal-transmission", "metadata": {}, "source": [ "### 対数 F0 予測モデルのための前処理" ] }, { "cell_type": "markdown", "id": "arranged-distributor", "metadata": {}, "source": [ "#### 対数F0 + 有声/無声フラグの計算" ] }, { "cell_type": "code", "execution_count": 21, "id": "imperial-reynolds", "metadata": { "execution": { "iopub.execute_input": "2021-08-21T07:44:23.733507Z", "iopub.status.busy": "2021-08-21T07:44:23.732561Z", "iopub.status.idle": "2021-08-21T07:44:23.736505Z", "shell.execute_reply": "2021-08-21T07:44:23.735683Z" } }, "outputs": [], "source": [ "from nnmnkwii.preprocessing import delta_features\n", "from nnmnkwii.preprocessing.f0 import interp1d\n", "from ttslearn.dsp import f0_to_lf0\n", "\n", "def world_log_f0_vuv(x, sr):\n", " f0, timeaxis = pyworld.dio(x, sr)\n", " f0 = pyworld.stonemask(x, f0, timeaxis, sr)\n", " vuv = (f0 > 0).astype(np.float32)\n", "\n", " # 連続対数基本周波数\n", " lf0 = f0_to_lf0(f0)\n", " lf0 = interp1d(lf0)\n", "\n", " # 連続基本周波数と有声/無声フラグを2次元の行列の形にしておく\n", " lf0 = lf0[:, np.newaxis] if len(lf0.shape) == 1 else lf0\n", " vuv = vuv[:, np.newaxis] if len(vuv.shape) == 1 else vuv\n", "\n", " # 動的特徴量の計算\n", " windows = [\n", " [1.0], # 静的特徴量に対する窓\n", " [-0.5, 0.0, 0.5], # 1 次動的特徴量に対する窓\n", " [1.0, -2.0, 1.0], # 2 次動的特徴量に対する窓\n", " ]\n", " lf0 = delta_features(lf0, windows)\n", "\n", " # すべての特徴量を結合\n", " feats = np.hstack([lf0, vuv]).astype(np.float32)\n", "\n", " return feats" ] }, { "cell_type": "markdown", "id": "suitable-affect", "metadata": {}, "source": [ "#### 対数F0 + 有声/無声フラグの可視化" ] }, { "cell_type": "code", "execution_count": 22, "id": "injured-cassette", "metadata": { "execution": { "iopub.execute_input": "2021-08-21T07:44:23.747410Z", "iopub.status.busy": "2021-08-21T07:44:23.745132Z", "iopub.status.idle": "2021-08-21T07:44:24.385465Z", "shell.execute_reply": "2021-08-21T07:44:24.385168Z" } }, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "from ttslearn.dsp import lf0_to_f0\n", "\n", "sr = 16000\n", "_sr, x = wavfile.read(ttslearn.util.example_audio_file())\n", "x = (x / 32768).astype(np.float64)\n", "x = librosa.resample(x, _sr, sr)\n", "\n", "out_feats = world_log_f0_vuv(x, sr)\n", "lf0 = out_feats[:, 0]\n", "vuv = out_feats[:, -1]\n", "\n", "timeaxis = librosa.frames_to_time(np.arange(len(lf0)), sr, int(0.005 * sr))\n", "\n", "fig, ax = plt.subplots(3,1, figsize=(8,6))\n", "ax[0].set_title(\"Input waveform\")\n", "ax[1].set_title(\"Continuous log F0\")\n", "ax[2].set_title(\"V/UV\")\n", "\n", "librosa.display.waveplot(x, sr, x_axis=\"time\", ax=ax[0])\n", "ax[1].plot(timeaxis, lf0, linewidth=2)\n", "ax[2].plot(timeaxis, vuv, linewidth=2)\n", "\n", "for a in ax:\n", " a.set_xlabel(\"Time [sec]\")\n", " a.set_xlim(0, len(x)/sr)\n", " a.set_xticks(np.arange(0, 3.5, 0.5))\n", " a.xaxis.set_major_formatter(FormatStrFormatter('%.1f'))\n", "\n", "ax[0].set_ylabel(\"Amplitude\")\n", "ax[1].set_ylabel(\"Logarithmic frequency\")\n", "ax[2].set_ylabel(\"Binary value\")\n", "\n", "plt.tight_layout()" ] }, { "cell_type": "markdown", "id": "injured-worse", "metadata": {}, "source": [ "#### 1発話に対する前処理" ] }, { "cell_type": "code", "execution_count": 23, "id": "white-motor", "metadata": { "execution": { "iopub.execute_input": "2021-08-21T07:44:24.389465Z", "iopub.status.busy": "2021-08-21T07:44:24.389171Z", "iopub.status.idle": "2021-08-21T07:44:24.489490Z", "shell.execute_reply": "2021-08-21T07:44:24.489232Z" } }, "outputs": [], "source": [ "from nnmnkwii.frontend import merlin as fe\n", "\n", "# HTS 形式の質問ファイルを読み込み\n", "binary_dict, numeric_dict = hts.load_question_set(ttslearn.util.example_qst_file())\n", "\n", "# フルコンテキストラベルの読み込み\n", "labels = hts.load(ttslearn.util.example_label_file())\n", "\n", "# フレーム単位の言語特徴量を抽出\n", "in_feats = fe.linguistic_features(\n", " labels,\n", " binary_dict,\n", " numeric_dict,\n", " add_frame_features=True,\n", " subphone_features=\"coarse_coding\",\n", ")\n", "\n", "# 音声ファイルの読み込み\n", "sr = 16000\n", "_sr, x = wavfile.read(ttslearn.util.example_audio_file())\n", "x = (x / 32768).astype(np.float64)\n", "x = librosa.resample(x, _sr, sr)\n", "\n", "# 連続対数基本周波数と有声/無声フラグを結合した特徴量の計算\n", "out_feats = world_log_f0_vuv(x.astype(np.float64), sr)\n", "\n", "# フレーム数の調整\n", "minL = min(in_feats.shape[0], out_feats.shape[0])\n", "in_feats, out_feats = in_feats[:minL], out_feats[:minL]\n", "\n", "# 冒頭と末尾の非音声区間の長さを調整\n", "assert \"sil\" in labels.contexts[0] and \"sil\" in labels.contexts[-1]\n", "start_frame = int(labels.start_times[1] / 50000)\n", "end_frame = int(labels.end_times[-2] / 50000)\n", "\n", "# 冒頭:50 ミリ秒、末尾:100 ミリ秒\n", "start_frame = max(0, start_frame - int(0.050 / 0.005))\n", "end_frame = min(minL, end_frame + int(0.100 / 0.005))\n", "\n", "in_feats = in_feats[start_frame:end_frame]\n", "out_feats = out_feats[start_frame:end_frame]" ] }, { "cell_type": "code", "execution_count": 24, "id": "innocent-nightmare", "metadata": { "execution": { "iopub.execute_input": "2021-08-21T07:44:24.491672Z", "iopub.status.busy": "2021-08-21T07:44:24.491402Z", "iopub.status.idle": "2021-08-21T07:44:24.493339Z", "shell.execute_reply": "2021-08-21T07:44:24.493104Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "入力特徴量のサイズ: (568, 329)\n", "出力特徴量のサイズ: (568, 4)\n" ] } ], "source": [ "print (\"入力特徴量のサイズ:\", in_feats.shape)\n", "print (\"出力特徴量のサイズ:\", out_feats.shape)" ] }, { "cell_type": "markdown", "id": "coupled-midnight", "metadata": {}, "source": [ "#### レシピの stage 2 の実行\n", "\n", "上記の処理を行うバッチ処理のプログラムは、`preprocess_logf0.py` にあります。" ] }, { "cell_type": "code", "execution_count": 25, "id": "handed-metadata", "metadata": { "execution": { "iopub.execute_input": "2021-08-21T07:44:24.495435Z", "iopub.status.busy": "2021-08-21T07:44:24.495168Z", "iopub.status.idle": "2021-08-21T07:44:24.496739Z", "shell.execute_reply": "2021-08-21T07:44:24.496460Z" } }, "outputs": [], "source": [ "if run_sh:\n", " ! ./run.sh --stage 2 --stop-stage 2 --n-jobs $n_jobs" ] }, { "cell_type": "markdown", "id": "advisory-attack", "metadata": {}, "source": [ "### WaveNet のための前処理" ] }, { "cell_type": "markdown", "id": "convenient-spectacular", "metadata": {}, "source": [ "#### 1発話に対する前処理" ] }, { "cell_type": "code", "execution_count": 26, "id": "sacred-knowing", "metadata": { "execution": { "iopub.execute_input": "2021-08-21T07:44:24.501300Z", "iopub.status.busy": "2021-08-21T07:44:24.501012Z", "iopub.status.idle": "2021-08-21T07:44:24.600125Z", "shell.execute_reply": "2021-08-21T07:44:24.599803Z" } }, "outputs": [], "source": [ "from ttslearn.dsp import mulaw_quantize\n", "from ttslearn.dsp import world_log_f0_vuv\n", "\n", "# HTS 形式の質問ファイルを読み込み\n", "binary_dict, numeric_dict = hts.load_question_set(ttslearn.util.example_qst_file())\n", "\n", "# フルコンテキストラベルの読み込み\n", "labels = hts.load(ttslearn.util.example_label_file())\n", "\n", "# フレーム単位の言語特徴量の抽出\n", "in_feats = fe.linguistic_features(\n", " labels,\n", " binary_dict,\n", " numeric_dict,\n", " add_frame_features=True,\n", " subphone_features=\"coarse_coding\",\n", ")\n", "\n", "# 音声ファイルの読み込み\n", "sr = 16000\n", "_sr, x = wavfile.read(ttslearn.util.example_audio_file())\n", "x = (x / 32768).astype(np.float64)\n", "x = librosa.resample(x, _sr, sr)\n", "\n", "# 連続対数基本周波数と有声/無声フラグを結合した特徴量の計算\n", "log_f0_vuv = world_log_f0_vuv(x.astype(np.float64), sr)\n", "\n", "# フレーム数の調整\n", "minL = min(in_feats.shape[0], log_f0_vuv.shape[0])\n", "in_feats, log_f0_vuv = in_feats[:minL], log_f0_vuv[:minL]\n", "\n", "# 冒頭と末尾の非音声区間の長さを調整\n", "assert \"sil\" in labels.contexts[0] and \"sil\" in labels.contexts[-1]\n", "start_frame = int(labels.start_times[1] / 50000)\n", "end_frame = int(labels.end_times[-2] / 50000)\n", "\n", "# 冒頭:50 ミリ秒、末尾:100 ミリ秒\n", "start_frame = max(0, start_frame - int(0.050 / 0.005))\n", "end_frame = min(minL, end_frame + int(0.100 / 0.005))\n", "\n", "in_feats = in_feats[start_frame:end_frame]\n", "log_f0_vuv = log_f0_vuv[start_frame:end_frame]\n", "\n", "# 言語特徴量と連続対数基本周波数を結合\n", "in_feats = np.hstack([in_feats, log_f0_vuv])\n", "\n", "# 時間領域で音声の長さを調整\n", "x = x[int(start_frame * 0.005 * sr) :]\n", "length = int(sr * 0.005) * in_feats.shape[0]\n", "x = pad_1d(x, length) if len(x) < length else x[:length]\n", "\n", "# mu-law 量子化\n", "quantized_x = mulaw_quantize(x)\n", "\n", "# 条件付け特徴量のアップサンプリングを考えるため、\n", "# 音声波形の長さはフレームシフトで割り切れることを確認\n", "assert len(quantized_x) % int(sr * 0.005) == 0" ] }, { "cell_type": "code", "execution_count": 27, "id": "preceding-bermuda", "metadata": { "execution": { "iopub.execute_input": "2021-08-21T07:44:24.602337Z", "iopub.status.busy": "2021-08-21T07:44:24.602067Z", "iopub.status.idle": "2021-08-21T07:44:24.604031Z", "shell.execute_reply": "2021-08-21T07:44:24.603753Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "条件付け特徴量のサイズ: (568, 333)\n", "量子化された音声波形のサイズ: (45440,)\n" ] } ], "source": [ "print (\"条件付け特徴量のサイズ:\", in_feats.shape)\n", "print (\"量子化された音声波形のサイズ:\", quantized_x.shape)" ] }, { "cell_type": "code", "execution_count": 28, "id": "contrary-joint", "metadata": { "execution": { "iopub.execute_input": "2021-08-21T07:44:24.624038Z", "iopub.status.busy": "2021-08-21T07:44:24.614636Z", "iopub.status.idle": "2021-08-21T07:44:24.772480Z", "shell.execute_reply": "2021-08-21T07:44:24.772181Z" } }, "outputs": [ { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAjgAAAEYCAYAAABRMYxdAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8rg+JYAAAACXBIWXMAAAsTAAALEwEAmpwYAABp3UlEQVR4nO3ddXhU19bA4d9KSAgaJLgFd0/RQqFQitTdS/XW2+/29pYa9UJdb12ou9EihQpWpLi7u5NAIL6/P+YkTJLRzBnJZL3Pk4eZM2fO2TlMZtbsvfbaYoxBKaWUUiqaxIS7AUoppZRSdtMARymllFJRRwMcpZRSSkUdDXCUUkopFXU0wFFKKaVU1NEARymllFJRRwMcpZRyQ0T6ish6ETkmIueFuz1KKd9pgKOUKkREtojI4BCc5zER+SzY5wnQE8AbxpjKxpifwt0YpZTvNMBRSin3mgArS/JEESlnc1uUUn7QAEcp5ZaIjBSRWSLygogcFpHNIjLM6fFpIjJGRP4RkTQR+VlEaliPDRCRHUWOt0VEBovIUOBB4FJr+Gepi3NfJyK/ON1fLyLfOt3fLiJdrNuvWvfTRGShiPSzttcXkRP5bbK2dRWRAyISZ92/XkRWW7/fbyLSxNq+EWgG/GK1sbx1vPEickhENojITU7HfUxEvhORz0QkDRhpXZ+nRGS2dYxfRKSmiHxutXW+iCQH8F+klHJDAxyllDc9gbVAEvAc8IGIiNPj1wDXA/WAHOA1bwc0xkwGngG+toZ/OrvYbTrQT0RiRKQ+EA/0BhCRZkBlYJm173ygC1AD+AL4VkQSjDG7gDnAhU7HvQL4zhiTLSLn4gi0LgBqATOBL602Nge2AWdbbcwEvgJ2APWBi4BnROR0p2OfC3wHVAM+t7ZdBlwNNACaW+35yGrrauBRb9dLKeU/DXCUUt5sNca8Z4zJBT7GEcjUcXr8U2PMCmNMOvAIcImIxAZ6UmPMJuAojsClP/AbsEtE2gCnATONMXnWvp8ZYw4aY3KMMS8C5YHW1qG+AC4HsAKzy6xtALcAY4wxq40xOTiCri75vTjORKQR0Be43xiTYYxZAryPI8DLN8cY85MxJs8Yc8La9pExZqMxJhWYBGw0xvxune9boGuAl0op5YIGOEopb/bk3zDGHLduVnZ6fLvT7a1AHI7eHjtMBwbgCHCmA9NwBDenWfcBEJH/WMNMqSJyBEh0asP3QG8RqWcdJw9HTw04cmxeFZEj1vMOAYKjt6Wo+sAhY8xRp21bi+y7neL2Ot0+4eJ+ZZRSttMARykVqEZOtxsD2cABIB2omP+A1atTy2lf48Ox8wOcftbt6RQJcKx8m/8ClwDVjTHVgFQcgQrGmMPAFOBSHMNTXxlj8s+9HfiXMaaa008FY8xsF23ZBdQQkSpFft+dfv5OSqkQ0ABHKRWoq0SknYhUxDGt+jtrOGsdkCAiI6yE3odxDB3l2wski4in96HpwECggjFmB46el6FATWCxtU8VHLk/+4FyIjIaqFrkOF/gGEq6iJPDUwBvAw+ISHsAEUkUkYtdNcQYsx2YDYwRkQQR6QTcAET6VHelyiQNcJRSgfoUGIdjKCsBuAvAyjm5DUeeyk4cPTrOs6ryZ0QdFJFFrg5sjFkHHMMaUjLGpAGbgL+tIAocuTmTcQRUW4EMig8VjQdaAnuMMQUztowxPwLPAl9ZM59WAMNw73IgGUdvzo/Ao8aY3z3sr5QKEznZU6uUUv4RkWnAZ8aY98PdFqWUcqY9OEoppZSKOhrgKKWUUirq6BCVUkoppaKO9uAopZRSKupE3WJwSUlJJjk5OdzNUEoppVQILFy48IAxplbR7VEX4CQnJ7NgwYJwN0MppZRSISAiW11t1yEqpZRSSkUdDXBUIV/P30bXJ6awcldquJuilFJKlZgGOKrAntQM7v9+OYePZzPitVnk5ukMO6WUUqWTBjiqQK8xfxS6P+zVGWFqiVJKKRUYDXAUADm5ecW2rdt7LAwtUUoppQKnAU6UO3I8i+2Hjnvdr/PjU1xuj9RCkMcyc5i5fn+4m6GUUipCaYATxfLyDF2emEq/5/7yuN/dXy0mPSvX5WPvzNgUjKYF7N9fL+HqD/5hwrLd4W6KUkqpCKQBThSbtGJPwe1F2w5jjGHqqr1kOw1HbT6Qzs9Ldrk9xthJayKyp2TKqr0A3P7FInannghza1SwZebkct+3S1m392i4m6KUKiU0wIlir/+5vuD2BW/O5rbPF3HTJwto+dAkDqVnkZtn+GP1Xq/HufqDf4LZTL99Pq9wTad/Nh8KU0tUqPy0eCffLtzBkJdnsGGfBjlKKe+ibrHNlJQUo5WMHZJHTXD7WPlyMWTmFE8sdufp8ztwZc8mdjQrIMYYmj4wsdj2LWNHhKE1KlSKvpb1/1splU9EFhpjUopuD2sPjogMFZG1IrJBREa5ePzfIrJKRJaJyB8iEv5P2CjhT3AD8NCPK4LUEv+cyHadK7TtoPdEaqWUUmVH2AIcEYkF/gcMA9oBl4tIuyK7LQZSjDGdgO+A50LbytJr68F024+5PgLyH+Ztcj0cdeh4VohbokJl4/7i5QqW7TgS+oYopUqVcPbg9AA2GGM2GWOygK+Ac513MMb8ZYzJ/2o+F2gY4jaWWpe9O9f2Y2a5qJUTateNm+9y+6Kth0PcEhUqg16cXmzbOW/8Xej+p3O2kDxqAt8u2B6qZimlIlw4A5wGgPO70Q5rmzs3AJOC2qIosjs1w/ZjHjwWeC/Jip2pJI+awJ1fLrahRSc98euqQrPDSoOtB9NdFlgM1PZDx1mwJfoTr5NHTWD7oeMs2naYR35eCcB93y3jtT/We3mmUqosKBWzqETkKiAFeN7N4zeLyAIRWbB/f+RNaY4W13wY+Gyqi96eDcAvSx1T0zfsO2pbLZuXpq6z5TihsOvICU57fhpjJ62x9bi5eYZ+z/3FRW/P4cCxTFuPHQ75rxN3+j33Fxe8ObvQttL0OlBKBU84A5ydQCOn+w2tbYWIyGDgIeAcY4zLd2xjzLvGmBRjTEqtWrWC0lhVcrl5ht5j/uDnJTvJyD7ZY/HujI0MfmkGt3+xiDETV3s9Tp6XxT/fmrax1PTi7Elz9LC9P2szh9Ltyx8aO+nkdUx56nfbjhsun87d6n0nF+aXgR4spZRnXgMcEakoIo+IyHvW/ZYicpYN554PtBSRpiISD1wGjC9y7q7AOziCm302nLNMyMxxPdMoXHannmB3agZ3f7Wk0PZnJp7svXhnxiZmbzjg8TgrdqV6PVfLhyax68gJjDFBGf4JVHpmDm9P31io18HO4aTfVhaua7TSh2sWThnZjgJ+788sXjE7LSO7xDWOPpi5OdCmKaVKuXI+7PMRsBDobd3fCXwL/BrIiY0xOSJyB/AbEAt8aIxZKSJPAAuMMeNxDElVBr4VEYBtxphzAjlvWfD0BO+9IaF02vPTfNrv398s5Zwu9bl3SCvKl4st8fn6jP2z4Pa9Z7Ti7M712XwwnZa1K9OwesUSH9cOz05ewydzCvdKLN+ZypD2dQM+tjGGbUXWHRvx2ixWPH4mlcv78qceend8sZjfrWKTIzrVo15iBb78ZxsP/LA8oONOXrnH+05Kqajmy7tec2PMpSJyOYAx5rhY0UagjDETgYlFto12uj3YjvOUNZv22z9FPBC5XoaW8u1Jy+DdGZt4d8YmKsXH8s9Dg6kU4Afzi1PX8aJTTsbnN/akb4ukgI7pzdGMbBZvO0Lv5jWJiy3cSeoq3+j1Pzcwsk8yNSuXD+i8493kqwx6cRpzHxiEqz/bvWkZ1K5S3uVjwbbzyImC4AZOvk4CDW6UUgp8y8HJEpEKgAEQkeZA6c9ejGKG4FWnDlVBvfSsXMbN3lJo282fLAz4uE/8sirgY3jT8bEpXPPhPwx9ZUah7YfSszjoJt+muw35MpsPuA5s96Zl8u3CHcW2b9h3jJ7P/MEHs8IznDNjXeEJAe9M38TkFdrzEg3W7jnK8h2p5OYZoq1avio9fAlwHgUmA41E5HPgD+C/QW1VGbJh31Hen7mJMRNXs2ZPmi3H/HvDQVuO48qSIgXWjDEek3+9JQZ78vxvawvdz0/MDcTavUf5a01o0rk27k/nr7X7eP63NXwxbxuflTBh1leC+16Y/363jIwiVaC3HXIERE9NWB2WvK2iPTWfzt3KuNn2BVveZmAVlZdnuH7c/LDU0pm76SBb3ASo3hw4lsk70zdGTCCxdPsRznxlBme/MYvmD07k4rfnREzbVNnitf/fGDNVRBYBvQAB7jbGeM4GVV6lZWRz15eLmbb25LfYd2ZsYs2TQ0mIK3n+SbA5v1Edy8xh+Kszi+V95HvkrHYkxEVeJYLrxs3n5Us7c35X++tGZhVZAuO6j1wXJgyGt6Zv8Pj4wq2H3Q7PPfD9cro2rsbVvZOD0DLfzXVTqbok7vxyMWd3ru91P2MMrR6eRHau47X955p9XJzSyMuz7JVfmNOXNbYWbj3EE7+s4rq+TRnRqV7BbLk+zZPo2DAxqO30xbn/K1yEccHWwzR9YCIbnh5GudjIez9Q0cvtq01EuuX/AE2A3cAuoLG1TZXQp3O30umxKYWCm3xtHpkchhb5zhg4kZXL7Z8vosOjv7kNbgA++nuzbWtYpWfm2HKcfP/39VJbj5fv3RkbS/zcE1kl70U5lJ5VaAq+v35YvJNHfl5J6onsEh/DH+siYNmPfC0eOhnc5AvGUifuHM/y77V94VtzWLojlXu+XsLnTr2Cd321OOyz5jzNXGzxkNZpVaHlKZx+0fr5HzAPeBd4z7r9v+A3Lfos3X6E5FETeOQnzx/6G/aV/M3/aEZwP6AMhmcnr2HCcu/F+XYcPmHbeYvOPLLDzPX2F4V8L4DpyXd8sajEz/UlAPRllODBECX4Dnl5hvedQuCXpbtcJsEX7YUIpn99WvLcsnSnoHjzgXRGvDYrrLWgnp+y1uPjt39e8te4Uv5yG+AYYwYaYwbi6LnpZhXS6w50xUVBPuXejsPHGf7qTJ/fNAe/VPI3/6s/CLzasCd5ebA/hBVy85Oan51sb8VfcFwrVx9uh9KzfJ75VfR5gfSA/LFmH7tTSxYU9nvuL7+fs2Jn8ZyvCct389HfZaOGTEZ2rtslQ44cD01PFsAsp/pPa/d4/nJT9P+maJ4awOCXiq/dFSrehhh9+WKUb8O+owVFMFOPZ5Mawv8TFR18GRBtbYwp+FpnjFkBtA1ek6LL8awcTn32L1bttieB2Jsl248E9fh70jJsW1rBF+v2Hg3qN9IRr80sdD/1RDbdnpxarLLyy1PXcfUH8zwe69/fLAm4Pb3H/Bm0hEzn4Gnf0Qy3Sxo8HoKZZpHAVXFBZ9+7mHkWDDFOU/TPtGbe7T+ayZhJq4v9rX3qQ0/m1iDPdFy9O41vFmxnvYthRl+KDXgr6AmOLwuDX5pBtyenMujFaXR+Ygqdn5hC8qgJDHxhWom+gKiyx5ciI8tE5H3gM+v+lcCy4DUputz7TclyPSYs282ITvVsbk3gXH1jDKYbP1kQ1Ouwpsg35vwZVu/P2sz71vTpNU8O5VUfFnDcdcSeIbmmD0z0KdnUXw/+uLwgefbOLzwvdjryo394+6ruQUl4n7speLP8ilq/9ygt61Rhb1oGF789pyBn7P6hbVjgZQX6e79dSqXy5RjaIfAijO5k5+YV+7A+541ZLNtxMpfm9i+ga+NqfHFjLzaVcKaVXX5esrNQRfK/R51Og2oVANi0/5hPX7Den7WZPl5qUXV/amrB7Y1F6nptPpDOxW/P5ofb+vre8CDLzs0rVvNKhZ8v/yPXASuBu62fVdY25cE/mw9xyTtzmFTCuh4/Lg7Nt8fSIFQ9RgePZXLP10uKbfc18Xvd3mO2tWVpEHricpw+SHd6Ccamrd3PN0GaLp0/YygU0jKyST2RTc9n/iiUEP/s5DUuk/yLuuWzwGsveeLq/9k5uMm3eNsR2o72fQLCQz+WPJdqd+oJlm4/wo7Dx1mzJ43Hxq8kedQEkkdNKLbcSl+nquG+vtf9uWYfhz2sv7b1YLrXfLFF244EvbfaF7tTT5A8agItH5oU0sBd+caXaeIZwMvWj/JBbp7hknfmBHSM31fv40RWLhXiff8GvSc18DoxZdGvy3ZxVqf6fDU/9PVP3Dn3f3/73IvjawDo/KHhSwK4ncMAeXmGoxk5DHkltPkhL05ZV2gIKNJc9HZg7xPufD5vG0+f39Gv58xcv59flu7imwUl+3K1cb/vAf7q3Wlue3F8XdrlPD/+RoLlq39Ovmdc9u5cXrm0C+d1bVBon037j1G1QhxJAVYqV/7zGuCIyGYoXhrXGNMsKC0qxdIzcxCBf9s0BXngC9P4e9TpAGw+cIwWtau43O+b+dt5Z8bGYl25yjd3fLGYszrV92n4bcXOVGpWjqdeYoVC2xdv8zzcEQyz1h/gKi95QUUdzcjmi3nbfNr3WIb3mVnn/e9v+reqxb/PaOXy8eRRExjesS4dGiTy3OTQDm8CzN4Ymm/VGdm5TF+3nzNtWFPMLlk5ecSX823Y5OWp63wahvXkh0W+zz254v15hYKTVbvSmLVhv98zL+dsPEjv5jX9eo4v8vP+jmbkkGeMy+AkIzuXd4qUhbjn6yU89stK5j80mHIxwspdaZz1+iwS4mJY8+Qw29upPPMlByfF6XYCcDFQIzjNKd3aP/qbrcfbk5ZB8wcnunwsuWZFtoRo2YSywNcA5azXZwHFC7JdN87+gn6/LN3lsVDdK7+7ThL2pONjU3ze98Wp67hzUEu3jw97dSard6exZPuRYgHO5/O2FtRAmrh8DxOXl94lGGZvOOA1Z2TspDWMm72Fb2/pzSnJ3t8eB74wjVZ1KtvVRJdaPTzJ5x6OQIOb/Uf9n1m588gJbvp4QUATMC5/r/Bw5/ldG/D0+R2IESmWP3bkeBYV48ux4/BxTmTn0qRmJcrFCLExwrIdR7jwLfe9aa6u43szNrmsPXXkeDYti9T88aVG1YZ9x2hUo0JACw2rwnwZoir6FegVEVkIjHa1f1n1v788V5G1mwY39jr/zdl+7f/Ur6sYNawNb07byO0DW/hUY8Zfr/y+zmOA4y1J1g7Joya4/ZBc7eGDya4Cj5HgivfnsXnMcI8LkuavmzZu9hafApzNB9Ldrh1mp2cmruaSlIbk5kH1inHUKrKw6qpdadzxZWC1adIysvl8nv91qpzzd+zy4+Kd/LjY0ZP08fU92JuaQfsGVblh3IKAlnq5Ydx8Phh5SqFtWz0UOXVl9oYDlI+LpUujasTGFH4tTVy+m9s+X8TF3Rvy/MWdS9xOVZgvQ1TOVYtjcPToBLbE88ljDwVeBWKB940xY4s8Xh74BOgOHAQuNcZssePcdnvZzZRbFZ2cZ1nNXL+/2BuWHTbuT4+I2RlLtx+hc6NqHvcxxrAnLYPeY+z/0IoEa/YcpW29qi4fc07GnrBsN2MuyKZqQpzbY4Vy3a93Z2zi3Rmep8MHqpMfvYKhdO2H9tUE+2PNPjJzcgt6V/5au4/v/CwjcMX7J4eT378mhcHt6nAsM4cOTj3/3y7cwYb9xzi1RRJJlctzRc/G7Dh8gorxsdSpmmDPL1OGiLeaGyLiXEEsB9gMvGiMCWhAXURigXXAGcAOYD5wuTFmldM+twGdjDG3iMhlwPnGmEs9HTclJcUsWLAgkKb5zRhD0wdcDyUpZZdujatRu0oCrepU5oNZmwtVsQ02V+sIJY+aELLzh9ubV3bj9Da1XU6b//fXS/hhcfH8k59v70vrulWKPWf0zyuCUplbBd/Ll3amc8NqnP5i4Mnyv9xxKme/Mcvn/U9tkcQ9g1vSsk4VypeLISfPsHjbYbo1rk5mTh7pmTlUTYijaoVy5OSZQsNkD49oy9AOdYkvF8OBo1nkGUOjGhUpFyNUiIslJghf0EJJRBYaY1KKbfchwGlmjNlUZFtTY0xA5U5FpDfwmDHmTOv+AwDGmDFO+/xm7TNHRMoBe4BaxkOjgxXgZGTnsm7vUXLyDAeOZrJ+3zEWbDnEpgPpQS+spVTjGhVpVKMCu49khLUWyk39mpJYIY4XppTdHsuNzwwv1GPnKdBrllSJN6/qxtBXZvLAsDb0bZFUkMelVCR64tz2XNCtIZXL+z9Qk5tnOHAsky0H0lm1O401u4+y5WA6u1JP8NHIU9xOlAmUuwDHl9/gO6Do4prf4Rg2CkQDwHle7g6gp7t9jDE5IpIK1ARCvpr5tkPHOeeNwkstVEkoR4UIXvlbRYfvbulNilNex/GsHPqO/ZPDYShd/8mcrWTmhG+to0jQ/MGJfHTdKVRNiGO7lzyMTQfSGfqKo1r2mEn2LzeilN1G/7yS0T+vpHPDRFrWqULtKuVJqlyempXjAcjMyeN4Zg6pJ3LYnXqCnUdOsC8tk4PpmRxMzyqUj1izUjxNkyrRtVH1sJRrcBvgiEgboD2QKCIXOD1UFcdsqoghIjcDNwM0btw4KOdoXKMi71zdnfLlYqhaIY7WdapQySnCLUvd9Sp0Pr2hR6HgBqBifDkWjx4S0tfc21d1Y2iHehhjSD2RTZcnpnp/UhS77iP/Zs2NuaAjA1rXYt6mQy6LSSoVSl0bV+PNK7tRJSGOCnGx5BnD6t1pTFqxh11HTlC5fDk27U9nxrr9HPSwNl9S5XgaVKtA45oV6dakOrWqlKdWlfI0ql6BNnWrUjcxvKGCpx6c1sBZQDXgbKftR4GbbDj3TqCR0/2GFF/EM3+fHdYQVSKOZONCjDHv4ljtnJSUlKAsUpIQF+uxxsW1vZvwsY6rK5u1r58Y7ibQrFYlhnZwLJchIlSrGM+WsSMKBVhjLujIAyFaiTzczutSn3O7NEAEalUpz4jX3A85Xd2rCZ0aJhYskXFe1wYcOZ7FY2VkvS/lXpu6Vfj+1j7EiFAhPpYZ6/bToUEivcf8EVAvaaX4WIZ1rFeQBD2oTW2y8wz/6t+MlOTqLqehxyJ0aliNTg2rFXvMGMPh49kcPu7onSlfLoaK8bFUSYjzuc5SuLgNcIwxPwM/i0hvY0wwym3OB1qKSFMcgcxlwBVF9hkPXAvMAS4C/vSUfxNOg9vV0QBH2equ01tQo1K828db1q7M+n32LQ/hTs+m3gupXd6jMZ0bVmPMpNUMalM76j7At4wdQV6eIT0rhypFZkh986/eBZXL29StwrjretBrzB8APHleh2LHGtm3KW9N38jeNP9rx6joMfme/oXu929VC4C1T50sCJibZ/h2wXY6NEikff2qvDR1HWd1qk+dquWpkhDHjHX7SapcnnmbD3LkeDb3DmlVUAbgBZumm4sINSrFe3wvilSehqj+a4x5DrhCRC4v+rgx5q5ATmzl1NwB/IZjmviHxpiVIvIEsMAYMx74APhURDYAh3AEQREpFIvbLhl9BhOW7yY9M4dezWoyZ+NB6iYmFFsfRpVMtYpxHAlDXos7uV5i+e9v68NX/2zjmYnBy+2oUSmeMRe4Lvl/2SmNCi1v0a5+VT69wZFGdyI7j2cnR1fOSUyMFAtuAHo0rcHgtrX5ffU+Lure0Kdu+bkPDOKjv7fwxK/RFQgq3zxyVjuf9ouNES7rcTLt4t4hrQs9PrBNbQA6Ngx/T28k8jREtdr6N2hzro0xE4GJRbaNdrqdgaNycsTr4UNxr0D8Pep0qlWM58qeTQq25XcnxsfGcOvngRXrKuvG39GXYxk5hWpV+GLiXf1oWadyscqldvDWV1k1IY6b+zcPaoCTv1K0K2Mv7MRX87fTvFalYo/dOqB51AU4ntw6oDm/r95Hv5a1fNpfRLj+1KZBD3BuHdCc7Jy8gppNquSaJlVi8j39OJaRQ/enfi/xcT65vkdBb40KLk9DVL9Y/34cuuaUXhXiY1n71FCe/HUVn831ba0fX3krt96qbnCm3pUlnRpWw9/RzzsGtqBdfUfxt9FntbP9wyoUvYLefDCy2MzLQpY/NsRtIcItY0ew/dBxHvxxOTPXh3zio21u7u992b3uTWoU+ju9Y2AL1uw5Gsxm+SSxQhy3nNacB4a3JSM7l0rly2GMwRjHAoMH0zPp8fQf4W5mqTDl//oTFxtD+cqxnN+1QUHFZH9pcBM6noaofsHFIpv5jDHnBKVFpVj5crE8dV5HVu5KY/G2I7Ycc/ljQ7zu07xWZUS8f+NXrr10iWOsWkQY0alewercKU2qF1sOYcnoM4gvF8O8zYcY2Lp2wfZaVexfKfj6vsm2H9Nftat4Hm5xNWTjrFGNinx6Q89SPcvw3iGuFxL15D9ntva+UwhcZ72GYmOkYNaniJA/Y7d2lQSGtKvDlFV7w9TC8LjvzNZc1L0htSqXJzMnj7ajJ3t9jnMg/9xFnUoU4Hx5Uy+/n6NKztMQ1Qsha0WU+fj6HraUL797UEuvHyD5lj92ZqGS38p353dtUHD7tFa1mLBsN50bJvLdrX2KfTBXq+hItHMOboKhXmICtbU0e0QorYsf9m9Vy6e2v3tNSqkOQH3x7tXdqZxQjt7NahZbU6xCfCxPnNue0T+vdPv8h0e0LXQ/LjaGSvGxflUTr5eYEJSVz5V7noaoCmpRi0g80AZHj85aY0xWCNpWasXaVNDo/87w/ZtjSapOKgfnN7z8YlTNaztWem5coyLb/FxUzw55EdAdd1qUdKUHMpxQmp3SpLrP+859YBDHMnOoVbk8iRVPfqn6Z/OhghlipVm3JtVJquy+l/Wa3snMXH+A5rUqM7htbf5Ys4+/1uxjzZ6jPDCsDTf2Kz5MedvAFjz/m28rFt09qCUXpzQscftVyfiy2OYI4G1gIyBAUxH5lzHG/qzKKBGu6sbdm1RnYQhWmI4ma54cWuh+CyuwSWniSBqf8d+BANz48QJ+X+2+G79DA3tnMURAfMN713jOvykthnaoS/WK8Xz4tyPR9tYBzXlr2sYwtyq44svFcPvAFj7v727mV4+mNVj1xJlMXrGHGev289OSXcX2Oa9LfVbsSmNDCUoWLHh4MMt3ptI8qTKNa1bkjT/X274MyDf/6u0xuMnn/HpPSa7B/UPbeNz/9oEt+GzuVnannlylPLFCHHMeOJ0KcbGICPO3HKJtvar6BTRMfLnqLwIDjTEbAESkOTAB0ADHjZgY4ftbe3PhWyX/5vPpDT38fk67elWjMsD5/d/9GfzSDNuPm1ghrthCiF0aVePvUadTv8gb/vvXev6wb5pUfCZRIC7s7vu3vVn3D+TUZ//yvqMfHhre1tYiXqufGIoIpDz1O8cyc2w7ri+MgdFnt2P02Sen5voa4Ez9v/7edwrAv/o3450grPY9878DbVtAsWJ8OS7o1pALujXkgeFtmbf5EKt2pTFl5R5u6t+My3s0Zvq6/SVavTupcvlCw709fKi55Hu7Y/nypl50blTNtmN68/rlXakYf/Jj9ZQgz65VnvnyDnY0P7ixbMJRzVh50L1JDVrVqVzi59dLdD89151gJLq6ckG3Bt53spEv375KYtLd/Vxub1CtQrFx+lC7b4jvSaoNq1f0ed9Fj5zh9rFLUxpxy2nNee3yrtzkw8whf1SIjyUhLpbRPtb/sNMpycWHan66va9Pz21ZJ7gzFMv70Nvbxs9Zkt/f2oc6QcrfqlM1gXM612fUsDb8+Z8BXG7VaDmtVS1q+/n+c3bn+sW29WgaeEDw4PA2bBk7glVPDA16cHPrgOYFty/u3pB+LZOCej7lH18CnAUiMlFERorItcAvwHwRuaDIGlWqiM9uKLp2qO+alaBHwPmPLZjGXtApJOfJF4wkz/qJCdT3UOOlJOz88Lbr23dRNSrF8/H1xXsH5z04iGcv6sSoYW04x8UHj10uOaWR951sVtNFgNywuvf/+9/uCW7vjS9m3DeQyff0Z+XjZ7p8/KHhJ5Nf42Nj2PTMcLr7kXtjp4f9fP2/dlkXl9trWhVzf7unPy9d0plnL+zIpLv7Ub1inMtquglxjo+xczrX54fb+nBz/9C8D4Ijd+ezG3pSt2oCT5zbIexfjFRhvgxRJQB7gdOs+/uBCjjWpzLAD8FpWulXu2oCKx73f3bTqS2SSvQB564eid3KBenD15WkyvFUiI+lV7MazN10yLbjuvqQD9RFKQ3DVpl20t39uPnTBWw/dMLtPrNHnQ44vm1vGTuCX5bu4s4vF/P4Oe2D9o0/UnnrFezUMJHWIagvVfQv6ZreTRjaoS5zNh7k3C4NaFzT0TtXqXw5Rg1rw9giK5LfcGpTvl24nXV7j7Hk0TOCFhj74pzO9Xlmwmr2pGV43feVS7u4DQZ+uK0PszYcoHXdKoX+DxaPLlwy461pG+nUMJFezWqyO/WEXz2Zdjq1ZRJzHxwUlnMrz7wGOMaY60LRkGhVkuSyy3qE/luuP2JihLsGteS1P9YH/Vy1rDosdifd2p0zA5AQxunEbetV5dkLO3HFe+4rMRcNTM/qVI+qFeLo1yK03eqT7u7HsFdnFtverFYlDh7LIvWEfctltKxdsmHiASGaQXZjv6a86vR3dHH3RnRsmEif5sX/T27u16xQgDP9vgHExAi/3Hkq+9IyC+V+hMsPt/Xhxo8XkJaRzY7DroPtL2/q5XG6dJOalWhS0/vfp3OPdbiCGxXZfJlF1RS4E0h23l8L/flu9RNDfSokle+sTiUfIqheMY7DIVhP6Z5BLTm1RRIV4mIL1kHJyslj+c5UmiVVouuTU205T343dudG1Zi32b4enNggfNONLxdDnarlA1pE8dXLutCuXtUSPdfVh6KzoknDIhKWqeBt61WlSkI5jmYUTjZ+5Kx2lIsRrv7A/2RVd364rU+JntctRMM8RetcGfe1VYmJEb64qWdBEJsfBJQvF0ujGpHxAV+/WgUmWrlt3y3cwY+Ld9C3RRL9WtQiqUp8iXILlSopX0L+n3AsevkLUPI13MuwYAyxuPPByFO44M3ZQTv+21d1AxxvtkUTAuPLxdg+/p+f5PnfM1vzrk2zTbwtfRGIQIYJb+rXlHO7BJbA3aZulUJLBJzVqR6PnNWOLQfSC4oURoLlj51ZrMZKhbhYejWztxCapx7UFrUru53aPCDIhRzdqRjvuRewT/Mk3ryyG4fSI78U2UXdG3KRH7MBlbKbL+/GGcaY14wxfxljpuf/BL1lUebtq7r7tN+vd54a5JYEJpRTLp2Vsym/aMPTw2w5TjD810vdDV98cVMvhrSrQ5OaFRl/R1/euKIbdaom0NPmwMEOPZrWKJiFUyk+lp42zKBx1qxWJY9Jn9/f6rp354sbSz45IFAtanvP+xnesR5X9WridT+lyjpfenBeFZFHgSlAQd+7MabEy1eLSA3gaxzDXluAS4wxh4vs0wV4C6gK5AJPG2O+Luk5w61axXiWPjqEzo+7X8Jh7AUdAy4Ypzn87v3z0CDbAiV3alYu7zb3wJN7z2hlS5J4jUrxvFuKCvQ9c34H2tWrwkXdGxUEI89f1In7vlvm9bmvX96VlnUqM2PdfpcrqntLJE6sEFfQm9ftyakcSs+iX8sk+oQ4JylflYTw59AoFU18eUftCNwEjMVR9O9FAl+nahTwhzGmJfCHdb+o48A1xpj2wFDgFRGpFuB5w6pqQjk8zSK8zPo2Gwh3FUntEgkVdktiRKd6XheOtMN7V5/sqTu1yAfl8I51XT7nvjNbc+eglkFtV6QSEa7unUwFp6GZi1O8J9nfPrA5Z3euT5u6Vbm5f3Nm3Dew2D5vXtnN53a8d00K8eVieOXSLj4/xy7T7xsAOBbNVUrZx5evDBcDzWxef+pcYIB1+2NgGnC/8w7GmHVOt3eJyD6gFnDExnaElIiwecwIdh45wRt/rufLf7YXPPb1zfasMhvsJL5QThEPxH+GtEJEiI0ROjZIpG+IvpU7L5DZrUl1Zm04UHB/zAWdWLkrjX+f0YrqFeN5468N/LP5UKHFPpXDFzf15Ndlu/li3jaXj//7jMKFEBvXrMiiR86gm5XcPqB1Lb8KRHZvUp11T4Vn+LJJzUp8cn0POtq83IdSZZ0vAc4KoBqwz8bz1jHG7LZu7wHqeNpZRHoA8TjWwyr1GlSrwJgLOjEmxAXz7ODvCtcNqlVg5xH/h2yg5IULW9auzB2nR0CPSJHursQKcUx36mno0bQGa/cctb3gYDTo0zyJPs2TeHhEW9qNLlxH6qPrTnE5C65GpXgWP3IG8zYf4sz2Ht9SIk7/KFnYVKlI4kuAUw1YIyLzOZmDY4wx53p6koj8Drjqk3/I+Y4xxoiI24EPEakHfApca4xxOYtLRG4GbgZo3DjwYR7lWo8SrKsy6/6BNH1gYsH9lCbVWeDjellD2pXsQ8p5zaFwqpOYwEfXncJ1H813+XhCXGzYkrZLi4rx5Vj1xJmcyMqlWsV4r9P7q1eKZ2gH10OBSqmyxZcA51Gn2wL0Ay7z9iRjzGB3j4nIXhGpZ4zZbQUwLnuHRKQqjoU9HzLGzPVwrneBdwFSUlJKaZZIZNoydgR70zKYtHy3T7kR+d64oivGOIblvrulNxe9PYc2davw6Q09C2oC/WdIK48rB5fkP/Kn2/vSJUKChstPaUxMjPD4Oe110b0AVIwvFxFF7JRSpYvXJGNrSngacBYwDjgdeDvA844HrrVuXwv8XHQHEYkHfgQ+McZ8F+D5yhS7irddkuKoYVGnagIj+zalkh9Vmc/qVL9gMb38KqO9m9cslEx6y2mFh6CKDisUTWj2pUcnEoKbJaPPYNUTZxaUzb+2TzLt6peseJ9SSqmScRvgiEgrEXlURNYArwPbADHGDDTGvB7geccCZ4jIemCwdR8RSRGR9619LgH6AyNFZIn10yXA85YJ71ztW80db+4Z3MqW49RNTGDafwYULAy4/ulhbHpmOOViY3jUaTjpmfM7Flrtuk7VwkmipWU4p1rFeO1xUEqpMPP0LrwGmAmcZYzZACAi/2fHSY0xB4Fiq5MZYxYAN1q3PwM+s+N8ZU1CnD1rItmZ/JrstPaTc72X6/o2pUpCHF0bVytY9fnrm3tRvVJ8sfVlvC3U20CTdZVSSlk8BTgX4Mi1+UtEJgNfoXXkyox/Hgrd6rhFy7m7q7rrbRrtA8MDrwSslFIqOrgdojLG/GSMuQxoA/wF3APUFpG3RGSIu+epyNekpveF+UJRFM9f/Vq6zy2KLxcT0CKlSimloosvScbpxpgvjDFnAw2BxRQpyqdKl7/uHcDfo06nmdOwkTO7F8xUSimlQs2vTEhrvaiCKdmq9BnesS4xMUKDahX4/d+nse9oJjsOH+eit0+u6vzJ9T3C2MKS6d8yPOsHKaWUikzBXXlQRZyxF56snhwTI9RNTCAluQaLHzmDC7o1YOZ/B/o1HTzUXrqks8vtb1zh+7pDSimlop8GOFGqaEJus6RKrHz8TKomxLncv3qleF66pAuNanjPzwmnc7u4XrfJrpljSimlooMGOGXEW1d1j+ieGV/FxohtC5MqpZSKXhrglBGt61YJdxNs07NZTRrVOFnzZtx1p4SxNUoppSKRBjhRqlWd6AloXBl/+6kFtwe0rh3GliillIpEpX/MQrn09Pkd+H7RjnA3I2iqV4pny9gR4W6GUkqpCKU9OFHKOen21gHNPeyplFJKRR8NcMqAGhXjw90EpZRSKqQ0wCkDWtSpHO4mKKWUUiGlOThRbNljQ9h+6Djt63tepFIppZSKNtqDE8WqJsRpcKOUUqpM0gBHKaWUUlFHjDHhboOtRGQ/sDWIp0gCDgTx+GWBXkN76HUMnF5De+h1DJxew5JrYoypVXRj1AU4wSYiC4wxKeFuR2mm19Aeeh0Dp9fQHnodA6fX0H46RKWUUkqpqKMBjlJKKaWijgY4/ns33A2IAnoN7aHXMXB6De2h1zFweg1tpjk4SimllIo62oOjlFJKqaijAY5SSimloo4GOC6IyFARWSsiG0RklIvHy4vI19bj80QkOQzNjHg+XMeRIrJfRJZYPzeGo52RTEQ+FJF9IrLCzeMiIq9Z13iZiHQLdRsjnQ/XcICIpDq9DkeHuo2RTkQaichfIrJKRFaKyN0u9tHXohc+Xkd9PdpE16IqQkRigf8BZwA7gPkiMt4Ys8pptxuAw8aYFiJyGfAscGnoWxu5fLyOAF8bY+4IeQNLj3HAG8Anbh4fBrS0fnoCb1n/qpPG4fkaAsw0xpwVmuaUSjnAvcaYRSJSBVgoIlOL/D3ra9E7X64j6OvRFtqDU1wPYIMxZpMxJgv4Cji3yD7nAh9bt78DBomIhLCNpYEv11F5YYyZARzysMu5wCfGYS5QTUTqhaZ1pYMP11B5YYzZbYxZZN0+CqwGGhTZTV+LXvh4HZVNNMAprgGw3en+Doq/AAv2McbkAKlAzZC0rvTw5ToCXGh1Z38nIo1C07So4ut1Vp71FpGlIjJJRNqHuzGRzBqS7wrMK/KQvhb94OE6gr4ebaEBjgqnX4BkY0wnYCone8WUCqVFONay6Qy8DvwU3uZELhGpDHwP3GOMSQt3e0orL9dRX4820QCnuJ2Ac09CQ2uby31EpByQCBwMSetKD6/X0Rhz0BiTad19H+georZFE19er8oDY0yaMeaYdXsiECciSWFuVsQRkTgcH8qfG2N+cLGLvhZ94O066uvRPhrgFDcfaCkiTUUkHrgMGF9kn/HAtdbti4A/jVZMLMrrdSwyPn8OjvFo5Z/xwDXWDJZeQKoxZne4G1WaiEjd/Bw6EemB431Rv7A4sa7PB8BqY8xLbnbT16IXvlxHfT3aR2dRFWGMyRGRO4DfgFjgQ2PMShF5AlhgjBmP4wX6qYhswJG8eFn4WhyZfLyOd4nIOThmFhwCRoatwRFKRL4EBgBJIrIDeBSIAzDGvA1MBIYDG4DjwHXhaWnk8uEaXgTcKiI5wAngMv3CUkxf4GpguYgssbY9CDQGfS36wZfrqK9Hm+hSDUoppZSKOjpEpZRSSqmoowGOUkoppaKOBjhKKaWUijoa4CillFIq6miAo5RSSqmoowGOUkoppaKOBjhKqaASkZoissT62SMiO63bx0TkzSCcb5yIbBaRW2w85vNW2/9j1zGVUsGlhf6UUkFljDkIdAEQkceAY8aYF4J82vuMMd/ZdTBjzH0ikm7X8ZRSwac9OEqpsBCRASLyq3X7MRH5WERmishWEblARJ4TkeUiMtlavwcR6S4i00VkoYj8VmS5D3fnuVhEVlirM8+wtsVavTLzrdXs/+W0//3WeZeKyNhg/f5KqeDSHhylVKRoDgwE2gFzgAuNMf8VkR+BESIyAcfqyucaY/aLyKXA08D1Xo47GjjTGLNTRKpZ227AsVbSKSJSHvhbRKYAbYBzgZ7GmOMiUsPuX1IpFRoa4CilIsUkY0y2iCzHsX7ZZGv7ciAZaA10AKZaaxHGAr4s5vg3ME5EvgHyV28eAnQSkYus+4lAS2Aw8JEx5jiAMeZQoL+UUio8NMBRSkWKTABjTJ6IZDstMJiH471KgJXGmN7+HNQYc4uI9ARGAAtFpLt1rDuNMb857ysiZwb6SyilIoPm4CilSou1QC0R6Q0gInEi0t7bk0SkuTFmnjFmNLAfaIRjlftbnXJ7WolIJWAqcJ2IVLS26xCVUqWU9uAopUoFY0yWNaT0mogk4nj/egVY6eWpz4tISxy9Nn8AS4FlOIa9FoljvGs/cJ4xZrKIdAEWiEgWMBF4MAi/jlIqyORkL7BSSpV+IjIO+NXOaeLWcR8jNFPclVI20CEqpVS0SQWetLvQH3AVoLVwlColtAdHKaWUUlFHe3CUUkopFXU0wFFKKaVU1NEARymllFJRRwMcpZRSSkUdDXCUUkopFXU0wFFKKaVU1NEARymllFJRRwMcpZRSSkUdDXCUUkopFXU0wFFKRRQReUpEDojInnC3pSgR6Ssi60XkmIicF+72+EtEBojIjnC3Q6lQ0ABHqSASkZEislxEjovIHhF5S0Sq+fH8LSIy2Mb22Ho8u4lIY+BeoJ0xpm642+PCE8AbxpjKxpifRMSISItwN0opVZwGOEoFiYjcCzwL3AckAr2AJsBUEYkPZ9siWGPgoDFmn79PFJFyQWhPUU2AlXYcKETtVarM0gBHqSAQkarA48CdxpjJxphsY8wW4BIgGcfK1IjIOBF5yul5BUMIIvIpjg/8X6whkf+KSLLVa3CziOwSkd0i8h+n5/t1PBftni4iF1q3+1rnGmHdHyQiS6zbzUXkTxE5aA0nfZ7fMyUi94vId0WO+6qIvGbdThSRD6y277SGpGKtnqWpQH2rfeOs/c8RkZUickREpolIW6fjbrHOtwxIF5EWVpuvE5HtInJYRG4RkVNEZJl1jDc8/L/1EJE51n67ReSN/GBURDYCzZyu3xzraUut+5da+50lIkusY8wWkU4e2lssyLHaf5s1FHZURJ60rvdsEUkTkW+c2jRSRGa5eL5PvUoiMkpENlrnWSUi5zs9tlVEulu3r7SO2966f4OI/OTLOZQKFw1wlAqOPkAC8IPzRmPMMWAicIa3Axhjrga2AWdbQyLPOT08EGgJDAHu92XYycvx8k0HBli3TwM2Af2d7k+3bgswBqgPtAUaAY9Zj30FDBeRKgAiEosjsPvCenwckAO0ALpav8ONxpjfgWHALqt9I0WkFfAlcA9QC8e1+6VID9jlwAigmnVcgJ7W9bkUeAV4CBgMtAcuEZHT3FymXOD/gCSgNzAIuM26fs2LXL/e1nM6W/e/FpGuwIfAv4CawDvAeBEp76q9xpgcXDsT6I6j1++/wLs4guJGQAfrGHbYCPTD0cP4OPCZiNSzHvP1taBURNIAR6ngSAIOuPkA2209HojHjTHpxpjlwEfY94E3HceHFzg+zMY43S/4UDPGbDDGTDXGZBpj9gMv5e9njNkKLALyewNOB44bY+aKSB1gOHCP1f59wMvAZW7acykwwTpXNvACUAFHAJnvNWPMdmPMCadtTxpjMowxU4B04EtjzD5jzE5gJo7AqhhjzEJjzFxjTI7V4/aO0+/vi5uBd4wx84wxucaYj4FMHIGKp/YW9ZwxJs0YsxJYAUwxxmwyxqQCk9y131/GmG+NMbuMMXnGmK+B9UAP62Hn10I/3LwWlIpUGuAoFRwHgCQ3eRb1rMcDsd3p9lYcPSl2mAO0sgKRLsAnQCMRScLxwTcDQETqiMhX1hBTGvAZhYO2LzgZdF3Byd6bJkAcsNsawjmCI4io7aY99XH8fgAYY/Jw/O4NnPbZXvRJwF6n2ydc3K/s6mQi0kpEfhVHQnga8Az+BaNNgHvzfzfr92tE4f8fV+21pf3ORKSxNXR2TESOudnnGqfhtCM4eofyf9/pQD+rRycW+AboKyLJOHp8lvjweygVNhrgKBUcc3B8c7/AeaOIVMYxDPOHtSkdqOi0S9GZQ8bN8Rs53W4M7ArweI4HjTkOLATuBlYYY7KA2cC/gY3GmPzA7BnrWB2NMVVxDJ+I06G+BQaISEMcPTn5Ac52HNclyRhTzfqpaoxp76ZJu3AEDQCIiFi/+05ffyc/vQWsAVpav9eDFP69vNkOPO30u1UzxlQ0xnwZpPYW+v8WkYL/b2PMNmvorLIxplhAJCJNgPeAO4CaxphqOHqLxHr+BuA4cCcwwxiTBuzB0Us1ywo2lYpYGuAoFQTWUMLjwOsiMlRE4qxvvt8AO4BPrV2X4MhXqWF9ON1T5FB7cSS2FvWIiFS0kj6vA74O8HjOpuP40MsfgphW5D5AFeAYkCoiDXDMFCtgDVtNwzF8ttkYs9ravhuYArwoIlVFJMZKoHU3DPQNMEIcCc5xOKaQZ+IIuoKhCpAGHBORNsCtXvYvej3fA24RkZ7iUElERuTnIwXBUqC9iHQRkQRO5kH5ohKOYGs/gIhch6MHx5kvrwWlIpIGOEoFiZXE+yCOvJE0YB6Ob/iDjDGZ1m6f4viQ2oLjg//rIocZAzxsDSH8x2n7dGADjp6gF6xck0CO52w6jg/6GW7ugyN46wakAhMokkxt+QJHYu8XRbZfA8QDq4DDwHc4hu2KMcasxdE79DqOYb2zcST5Zrlpe6D+g2NI7SiOYKXo9SvqMeBj63peYoxZANwEvIHjd9sAjAxSWzHGrMNRm+d3HPkzszw/o9BzVwEv4uht3At0BP4uspsvrwWlIpIYY2dvqVIqmKxeoM1AnIcZOEopVeZpD45SSimloo4GOEoppZSKOjpEpZRSSqmooz04SimllIo6UbfYW1JSkklOTg53M5RSSikVAgsXLjxgjKlVdHvUBTjJycksWLAg3M1QSimlVAiIyFZX23WISimllFJRJ+p6cFTJpJ7IpvPjUwptu6BbA166pEt4GqSUUkoFQAOcKLb5QDoDX5gGwIz7BlI+LoZnJ63hvK4N6NO8JofSs0jPyi3Yp6gfFu3kh0U7+fKmXvRuXjN0DfciIzuXQS9OZ+cRx2LMyx8bQpWEuDC3SgXTriMneOKXVdSuWp57BreiRqX4cDdJKRXhom6aeEpKitEcHNc9MoFoU7cKk+/pb9vxSiojO5c2j0wutn3l42dSqbzG69HI1f/5Pw8OonbVhEL7HEzPom7VBGJj/FkbUylV2onIQmNMStHtmoMTpewMbgDW7DnKH6v3lvj5uXkGYwwHj2Uy8IVpfDx7CwDGGLJz8/A10L7mg39cbm//6G9kZOeWuH3h8NvKPaSeyLb1mMYYNh9IZ96mg+Tllf4vL8ezclwGtD2e+YMeT//O+zM38f7MTbR5ZDJ9x/5J8wcn8vb0jWFoqVIq0mgPThTKysmj1cOTgnLsLWNH+P2c7YeO0++5v7ipX1Pem7m5YHvnhoks3ZFacH/ZY0Oo6mGoKTfP0PzBiR7PdfvA5tx5eksS4mL9bmco5OYZ5mw8yOSVu/ls7jYApt83gCY1K9ly/P/9tYHnf1tbcH/hw4OpWbm8LccOBmMMv63cS83K8ZySXKPY433H/lkwFOmP+85sze0DW9jRRKVUhHPXg6MBThR6/JeVfPT3lqAcuyQBTvKoCX7tP7JPMjsOH+eNK7oVClSmrd3HyI/m+33+ER3rMWH5bgBm3T+QhtUr+n0Mfxw4lsmKnamc2iKJcrGFO0nv/moxPy/ZVWhb6zpV+PLmXgHnlZzIyqXt6OK9HSP7JPPo2e0QKT50s3p3Gq3qVAnLsI4xhlOf/asggFnw8GCSKpfnkZ9W8Olcl7M+/VKS16pSqvTRIaoItfPICVbtSuPt6RvZcfi4LccMVnADsHDr4UL3c3LzWLMnjQ37jrI3LYOc3DyAQrf9NW72Fn5fvY/L3p1baHtJghugILgBOPXZv1ixM9XD3oFLeep3Rn40nxYPTWJPaga/r9rL1FV7mbBsd7HgBmDt3qN0e3JqwOf98O/NLrePm72FEa/NKjYMuGpXGsNenUnbRyaTlVOy/6tANH9wYqHemZSnfufr+dtsCW4Ath5M92v/nUdO8OGszSzfEdzXhyuH0rM4kVWyIdaDxzL5YNZmn4d5g23DvmMkj5pA8qgJ3P/dMpZsPxLuJqkyKqRZmSLSCPgEqAMY4F1jzKsiUgP4GkgGtgCXGGMOi+Mr56vAcOA4MNIYsyiUbQ6GE1m5bDpwjBGvzSq0feykNTx/UScuTmkUppZ5t+Pwcbo3qc6R41ms33eMi9+e43bf4R3rcjQjp8Tncn5jtPPN+6zXZwVtCnzRD9VeY/7w+bl5eYaYEvak5OaZQkNTRa3ancb8LYfp0fTkMNCeNEdwkZXrGNJsX78q4+84NSS9OVk5ebhKEbr/++W2neOcN/5m6aNDvO7355q9XD+ucK/vxmeGh6xXKy/P0O3JqTSvVYk/7h3gdf9P527lkZ9WcFO/ptxwarOC11j7+lXp2rga5cuFb3jWGMPgl6YX3P96wXa+XrAdgG9v6e1yGFKpYAl1D04OcK8xph3QC7hdRNoBo4A/jDEtgT+s+wDDgJbWz83AWyFur22MMXy/cAfXj5tP29GTiwU3+e77bllAPTkHjmWW+Lm+yM0zfDN/O12emOoxuAGYuHwPM9cfsOW8H8xy3TtRUj8s2slfa/bZekyA056fVuLnPuchQPFm9kbv1znbS4/ayl1p/OfbpSVugz96PvN70M/hSwL3+zM3FQtuAB7+aUUwmuTSQ9a5Nu73rcfpEWv/92Zu5qclOwu2X/buXFo/XHyIMpTen+n+7/Tit+cwecWeELZGlXUhDXCMMbvze2CMMUeB1UAD4FzgY2u3j4HzrNvnAp8Yh7lANRGpF8o222HKyj00fWAi9367lD99+FA99dm/Snwub0FHoPIMPD1xdVDP4Sw/2Htqgv3nvG7cfLYcKP6hsmJnarEZWQeOZbLZxb7Oth8KbIjx7ekbmeg0nOaPq93MLnPHGMOLU9YV2/7j4p20dTFryW6Hj9s7e6wk0jNz3L6uvvxnW8iGfL6av63gtreg+6Miw5BjJ60pts/5b/5tT8NK4Fcvr99bPlvo89D1h7M28870jWTn5jF+6S5enrqO6ev2ew3UlcoXtsIhIpIMdAXmAXWMMfl/GXtwDGGBI/jZ7vS0Hda2Qn9FInIzjh4eGjduHLxGl8A3C7bz3++W+f28I8ezqFbR/6RTbx/CgQrVN/x8vy7bTdt6VYN2/AEvTCuUjLrt4HHOen0WIzrVo2fTGmRk53Jz/+b0GfMnWbl5HhNX/+/rJQG357bPF/Ha5V05p3P9gI9V1F9r9tG3RRIAX/6znZW70lzudyI7l437j9G8VmXb2wCEdPp6WkZ2wcy89MwcJq/Yw4pdqfxnSGvGWaUK3Gn6wETWPz2MuNjgfg90jqOuGzefOQ+czkVvzSnITxrQuhY3ntqMU1sm8fgvq7web/G2I0FqqaNX7MaP5xcMd37zr94Fj2Xm5LLUh3ybl39fx31ntvG4z7xNB3niV8fvOsZFEPfNv3oXGm5VypWwBDgiUhn4HrjHGJPmPLvDGGNExK93QGPMu8C74JhFZWdbS+pEVi5HTmSVKLgBGP3zSl67vKvNrSp9XH1DDab+zzt6zyYs282EZY44OjvXkOXDt8YFRRKwS+quLxdzZvs6tudSfDJnKw+f1Q5wTCf3ZNCL0/nshp6c2jLJ1jYANPMy1d9O2w4ep0ODRG4YN58/nHpHfE3Eb/nQpKDOxtp/tPiQcu8xfxa6P23tfqat3e/XcTftP0YzmwLUtXuOMm3tPhrXqMitn59Mgfxn8yEeG7+Sx85pD8Cnc3xLDv/fXxv5z5DWLmf15bu0yASDoi55Z05EVDDPzs1jnPVaGtk3OejBsPJPyAMcEYnDEdx8boz5wdq8V0TqGWN2W0NQ+e9EOwHnjNuG1raI1/2pqRwv4awIgPFLd/kd4JS2QneRIv9b/uJtrgMUT8m7wXLJO3P5+fa+Pu2bmePb/7tzkOZLbZn1+47aHuD48g3fTt8v2sH+o5mFgptIcum7wRlSPv3F6X4HZnl5BgN8Pm8rT/26Gsc9R4DvzrjZWwoCHH/efxZsPew24fiV34sPnbrS8bEpYS8F8PHsLQVD9k9PXM26p4YRX06DnEgR0v8Ja1bUB8BqY8xLTg+NB661bl8L/Oy0/Rpx6AWkOg1lRaz1e48GFNzk8yVx1NlvKzWBryTu/nIxAFe+Py/MLTnJl0AgJzePvzccCHtiqSdLth8h9Xg2xzJzmLFuP+f+L7T5Id8u2MF140pWXiAUNvmYWBwKg16aTvMHJzL655Vk5eaRnWs8BjdFveAip8ud3akZbh975ff1Ph8n3IrOEm318KRiJRfenbGRP9eUvAq8KrlQh5p9gauB00VkifUzHBgLnCEi64HB1n2AicAmYAPwHnBbiNvrlz2pGew/mskZL8+w5XhXvOf4wM2vNePOa3+sJ3nUBO7+aokt5y1r/rK6/30JSr+ev41/Nh8qtv39mZtsb5c3b03b6HdQlnoim1Of/dP7jsA2H5Kmk0dNoMsT7pcFOe9/f9P5iSm88NtarvnQv0RoOxzLLHmZgny+JBsfPJbJ2ElryI2g5TGOZ/n+u1/01uyg5+85u8v6UpFv68F0Ln1njt9FQf/eYM8sTXf2H81kb5rrYCw9M4dX/ygejLV6eFLB6+Crf7bxzMQ1LmfqqeAr8RCViFQE7gUaG2NuEpGWQGtjzK/unmOMmQW4G3gd5GJ/A9xe0jaGmj81T3zl/Ad/+8DmxIqwancao4a1Ydra/UGZXVQW+To1P79OS9Gu8WD8P0xcvpvhHd1PGlyz96jfxzzlqd99yicCR57Ko2e3d/v46dYq9EdczIhatO0wk5xm1Py4uFSMLLu04/AJGtXwXP364Z9WMGnFHno0rc7pbep43BfgsnfnkGzT8hzuPDtpDY+f28GnfQPNH0svYSC588gJ+o71LeB2xTnAr5pQjvevPYVTkqt7zO9xZfOBdAZar2dXXA2FeVrzrPmDE0mqHM+BY1l+tUPZK5AcnI+AhUB+Gv1O4FvAbYATzUIxpfR/f538g/p9dWTmFJRWgUzNB6hRKZ5D6fa+mT03eY3HACc/CdofvgY3+XJy84otN5Fvk4dv/Be8ObvQfbsXFQ2lC9+azT8PDfa4z3YrQN58wLdAee6mQ8zdVLwn0E4fz9nqc4ATqK0H/S+RYPeSMmkZOVzyzhxuOLUpnRomcm6XBgWP5eUZvlmwnZ7NajJm4mrmbznE9X2bUiWhHHUTK3idAZmZk1ss6d/b8J0/wU1WTh7nvDGLh0a0pV/LWj4/T3kWSIDT3BhzqYhcDmCMOS7+hs1RpDSNG6vA3frZQl67vGvBrIlgvPD9yX8IlhZBnkVUGuxzMdOpqBU7HUPIn83dyg2nNg12k3y25UA6yUnue4q2HEi3pa5VSd75g7WkTH5R0A4NEmleq7LbRXpfnOp7zlDrhycX+zvw93f29H+x88gJ1uw5ysM/rWD6fQP9O7ByK5AAJ0tEKuBYcgERaQ4Et4xuBHtnhvvuShV9Jq3YwwezNjN20ho+u6FnUM4RSfkcZd3mA+k0dfPhlOo0RBdp/2cDXphGp4aJxMYIwzvU45o+TQr1RDw6fiXT1/k3Bb2orQfTGfbqzECbartBLzqWjKifmGD7sY0x/OTnsOuAF6Zxfd+mjOhUl+5NTs4gM8YUDI/FlN0+gqAIJMB5FJgMNBKRz3EkEI+0o1GlkQTlO7yKZPk1eu77LjjFD/e4SW6MZEczsjkRheUKjma4H2J75OeTyzr4kpgdasusxUMXbztS0FvTv1Ut7h/a2pbE4kCWJwmFXR5mbJXUtwt2eJwJ5s6Hf2/mw783M/mefrSp6yhgeodTwnUoE73LghIHOMaYqSKyCMeaUgLcbYwJbkp7BAvRunwqAp3IziU2ir95vTtjIzf3b+51v3mbDnot0FZaeeqYSYjzbzKqv+UfgmHGuv3MCLDnpizb7OdK9UVt3JdOm7pVycszxXLp8ieWlC8Xw4S7+lEvMYHYGCEhLnyLqJZWfk8TF5Fu+T9AExzLJuwCGlvbyqQynH5U5rmaRWSXmevD/yH0zETv1aT3pGZEbXADkOdhEkHRh654b67H9ZLW7z1mV7NUCP2waEfB7UC/0N7+xSL2pmV4rOqdmZPHNwu20/7R3wqG25R/StKD86L1bwKQAizF0YPTCVjAyVlVZYqGN2XbQZtnUOXLX0RzcNvapCTX4PJTGpNYMbzl6V0JRomESOLPLMnZGw9y48cL+Pj6Hi4fX74z1a5mqRD69zdLuaBbQ/LyDH9vOBjw8X5f7b3437szHPW1dh45QUZ2rvbi+MnvHhxjzEBjzEAcPTfdjDEpxpjuOBbOLL3FLgKlEY4Kot9X72PspDV0fmIKr7koLqaCy9Pselehz/R1+1m41fU0cOeeAFW6GGP4bN5Wltiw5Mh8FwVDPfG3Uv3KXanc+81SNu4/VmaX8QmkknFrY8zy/DvGmBVA28CbVPrk5OYVK9mtlN1G9kkG4KWp6/yu+KoC42mIyp3L33NdZTrCJlopP+w4fIItPtY68mblLvfV6V25+6slfDJnC7usdeT2pWXw6Zwtbo6dyojXZvH9oh0MenE6g1+aXjDD73B6FidsWEqoNAhkFtUyEXkf+My6fyVQsqWzS7lAp1kq5c2qJ86kYnw5/nVas2KrTYfC0YzssK/cHE5zNh6kRqV4WtWpUuwxd7FPVk4e3y3cwUXdGwa5dSpU+j0XWEFQZ+v3+Z+LNfrnlbw9bSN/3DuAmz9dyJLtR9iTlsHaPcdYt/co953Zmn4tk3h2cuEFgnccPlGsFtCHI1Po0bQmlcuHfM3tkJGSVuAVkQTgVqC/tWkG8JYxJqxzW1NSUsyCBaFd9+Ojvzfz+C+rQnpOVbY4Fxlbt/coQ2xa76ykbQDKZC+Sq6KHt32+kInL3Q8f6HVTwVAloZxtIwdLRw+JyNw+X4nIQmNMStHtJR6iMsZkGGNeNsacb/28HO7gJhwyc3I1uFFB9drlXQvdb1WnCuXLhXqdXMeCkvn+8CFBsqyYukqvhQo9O9MiOntYMDdQh9Oz+HnJTg4HaSKGJyV+lxSRzSKyqeiPnY2LdDPX76f1w5PD3QwV5drVKz4sMu/BYmvTBt3n87YV3L7hY10dOV8kLKmhVKACWfTUnWU7jtD1yanc/dWSsBTBDORrYApwivXTD3iNk/k4UW/2hgMFU3iVCqbYmOJ/ptUqxoe8HS9NXcfIj8r2a375Dv+neG8+kE7yqAkMfSX0w4pK+WrnkRMcz7KvVyj1RDbnvPE3ADf1a0rrusW/qAVbIENUB51+dhpjXgHKxKp8xzJzuOJ91zMklLJbuQgqkz1t7f4ynUNy9huzWOrnFOH8dYbW7Dlqf4OUslG70b+RleOhJoIf8r8MjeyTzEMj2oWlhk8gQ1TdnH5SROQWApuVVWp0ePS3gtt/3nsan97guqCXUnZIqlw+3E1QTtbs8W96r7OFWw/b2BKl7Je/Gnsgth08zuJtRwB47Jz2AR+vpAIJSF50up0DbAYuCaw5kW/93pPfwmbdP5CG1SvSpKbrVYaVCtTrl3elQnxkVC/9/d/92ZuWyZVlvPeyhBNPARjttDCnUpHo2clruHWA97XnPPn3N0sAuO/M1ja0qOQCCXBuMMYUSioWkaYBtieiXffRP/y11lHzpl/LJBpWrwjoQpsqeCJpibMWtavQonbox9EjzVY/kyWHtq/L5JV7SKoc73dxN6WCqXezmnx+Y0+AQutipWfmUKmE9XFOZOWywOqpvPW0wAKlQAWSZPydj9uiwpYD6QXBDcAnTuvM6EKbKlgkAtcAcVULpizxt6rxvqMZtKpTOaxd9UoVVa1iHJ/c0IOYGCEmRljz5NCCx9o7pWH4Kz/35rRWtYgJ87d/v0M0EWkDtAcSReQCp4eq4liAMyrFOv1HdW1cTYMaFRL6Mos8/g5RlYuN4VhGDkPb1w1Og5QqgYdHtCMu9mQfh11JwPOsNbbeubq7LccLREn6oFoDZwHVgLOdth8FbrKhTRGpUY2KZf6bqwo9jW8ij7/V3zOzc2lRpwrlYmNIiIshI9ueWSpKBcLVEiJzHxhErzF/AI4ituXL+Rf0fPWPo1ZW18bVImLl85KsJv6zMeY64CxjzHVOP3cZY2YHoY1KlVnagxN5PC3L4MrxrFwqWYninRpUC0KLlLJH3cSTgzC/Lt3t13Mzc3IZ9YNj/e03r+xma7tKyu8AR0T+a928QkReK/pjc/uUUhGgSc2K4W5CxNhprebsq2OZOQUz4RIiZEacKttqVXFfeuLp8zsAcO+3S/065q2fLQIguWZF6iVWKHnjbFSSJOPV1r8LgIUufpRStomMLpwY7UoqsX1HM6kU78gGaFGrcphboxT8cGsft49dfkpjv4/39IRV/LlmHwCT7+nvZe/Q8TsHxxjzi/Xvx/Y3RynlLFLiCn/zTtRJuXmGilbPTedGiWFujVKOnFJ3nGc+7UvLoHZVz3OHnp28hvdmOooDPjCsTUTk3uQryRDVLyIy3t1PMBqpVFkVIfENeUXim5cv7RyehpRSGdm5AJzaIinMLVFl3R0DW3jd59XLugB4XZLo12W7eGvaRgBm/ncg/wpz3ZuiSjKL6gXbW6GUcilSyhHExRZux/ldG/J/X/s3Rl+WtajtGJqqqctuqDD7jw/Vhc/pXJ+Hf1zBhn3HuOvLxbx6WZdi70WrdqVxxxeLAfjtnv4ee4XCpSSzqKbn/wBzgMPAIWCOtc0jEflQRPaJyAqnbTVEZKqIrLf+rW5tFyt5eYOILBORyEjNVqqM+eZfvcPdhIiSa3Vpbdx/zKf9E8Ow+rsqPUYNaxPuJhQiInx7q+NvfvzSXTR9YGLBSuNbDqQz4Pm/GP7aTMAxLBWOlcJ9EchimyOAjcBrwBvABhEZ5sNTxwFDi2wbBfxhjGkJ/GHdBxgGtLR+bgbeKml7lVIl07VxNe15KKL5g443/EEvev1OB0D5coEUjVfR7vQ2tcPdhGLa1K3KT7f3LbjfbvRvJI+awIAXprHloGO5kqfO6xBxw1LOAvmrexEYaIwZYIw5DRgIvOztScaYGTh6fJydC+QnLX8MnOe0/RPjMBeoJiL1AmizUqVKJAxQaX6xa+1G+17OvlH1yOu+V+GXVLk8nRtVC9nfWEqT6n7t36VRNTaPGc7N/ZsV2l6jUjyLHzmDq3o1sbN5tgtksc2jxpgNTvc34ahmXBJ1jDH5VYX2AHWs2w2A7U777bC2FapAJCI34+jhoXFj/6e4KRWpIiQFRxVRIS6WlnUq07VRNT6es9Xr/klVdIhKFbfg4cGAY9gnFD649hS/nyMiPDi8Lfed2ZpYkbCvL+WPQAKcBSIyEfgGMMDFwPz89amMMT+U5KDGGCMifsWzxph3gXcBUlJS9PumihqREODoH1Rhd53egn8POZmo6UuAU0uH+JQHyUmVeO3yruw4fJznJq8N+HiNalRg+6HCBSmv7tWExIpxJT6m87pVpUUgAU4CsBc4zbq/H6iAY30qA/gT4OwVkXrGmN3WENQ+a/tOoJHTfg2tbRHn3au7c/OnWudQ2SsiVhP3of98UJva/LFmn9f9okFKcg2f9/3v0NYk16xUaAbKNb2b8IkPQZEqW87pXJ+c3LyAA5x5Dw4isUIcbR6ZDMCaJ4eSdiKbGpXKXi9iiUOyIutQFf253s/DjQeutW5fC/zstP0aazZVLyDVaSgroiRWKHlkrJQ77epXDXcTfPLGFdE9wfHXO08lqbLjA6JVHd9njFx2SmOGdyycNqi9OQpcL5dQLjaGx89pD8BXN/fy+5jPX9SJOlUTSIiLpUXtyvRsWoOEuFhqV02gXCnsgQlUILOomorISyLygz+F/kTkSxzTy1uLyA4RuQEYC5whIuuBwdZ9gIk4cns2AO8Bt5W0vUqVNned3oI6XqqIRooK8bG0qhO9yxB0aJDI5zf2YmSfZOpU9Ryg3NSvacFtV/1v5ePK3geNKm7S3f1cbr+2TzJbxo6gV7OaPDS8bcH2Kf9XeAmEa3t7TvD9/d+n8XUZL+8QyBDVT8AHwC9Anq9PMsZc7uahQS72NcDtJWmcUsoeB45lhbsJEaF13So8Zn27dta8ViU27nckiT48oi2nJNcoKF1f3cWwwKWnNOaZiWuC21gV8ZJ86Mm7sV9Tnp64muSaFYm3emB6N6vJlzf3whjDkPZ1aVKzIqc++xcAQ9rVDWqbS5tAApwMY4yuHq5UkERKcm+l8r6tLfPg8Lbc990yZtw3kLajJwe5VZFjyv+dRvMHJxbcr+BlxfDECnGkNKnOgq2Hg900VcqJCCsfP5PYGCEhLpbnLuzEoLa1Cx7ray39seqJM4kRiah1oCJBIAHOqyLyKDAFyMzfaIxZFHCrSqFwldQvFyPkFF0oSEUFb7m9SZXLc+BYpuedbHC7D2vXAAxoXZv5Dw0OcmsiT2yRabMVvQQ4AL2b19QAR/mkUvmTH9OXnNLI5T4V4wP5KI9egQwGdwRuwpEv86L1U2bXqcoLQaWmR85qV3C7QbUKANSsXPYy48sK46UP58ubega9DVXKl+PcLg2Cfp5okv+36ck9g1txVS+t2aVUMAUS4FwMNDPGnGaMGWj9nG5Xw0qb3BD0otxwalO2jB3BlrEj+PmOvnx3S2/euyYl6OctK8Ze0DHcTSjEW8zcsk4VZo8K8p+ch47Ju05337Pz8fU9gtCYyHV9X6fEYh96c2NjhKfOi6zXmwqdN6+M7lmHkSKQAGcFUM2mdpR6Rbup7VY04z6pcnlSkmvQqWE13riia1DPXRbc1K+p19wJV67u1YQ1TxZdWs0evoTM9X3oLQhWI5yL3RXVv2VSEBqj/HVlT+0lstPap4by2uWBvd92b1K9WOkAFRyBBDjVgDUi8pvTNPGfvT0pWjnqDQRn+ueVPRvTtp77eigJ5TSxLFCjhrWlSoL/49hPntchaIl9kbAGVIKXoK9Tw0RuPLVpse0iQp/mNYPVrJDq2CDR6z4XdW8IwBnt6njZM7RqVIov1lvQsHqQg+IodVWvxpQvF8s5netTLoAvtJ/fGPyhZeUQSGbSo063BegHXBZYc0ovR7b7UK798B9mbThg67GfPLeDx8c1DydwsTHCaa38W9E3Lvbkm9zzF3Xivu+W2d2ssPNWbGz8Hae6fezzG3uyancaI16bZXezQsqXv6929auyZeyIgvtD2tVh+c7UYDbLJ3nGMLxjvUJtc7Y3LYOez/wR4laVTs5Dimd2qMuEZSWrOasznUInkErG04E04CxgHHA68LY9zSqdYmOEz2yOzl+9rIvXxc26NvZvhVhV2NXWirixMUKbup6r1D51Xgem/WcAV/RszJonhxVsr1bR/iAzKQIC1+a1Sl68T0RoXz+ROQ+U7tS8Z873P1fm3WtSmPNAsdJeIZc/jdid0lJIMhj+1b8Zs+4fyK93ug/S3Xn6PM9fOt25zM0sKBUcfgc4ItJKRB4VkTXA68A2QKwk49dtb2EpVJI/GHd8ncGiycYl5zwenj/UADDjvoHF9r2qVxOSkyrxzPkdC+VdBWMW3XV9iw/9lEb1Ekv3kEjQ85yCpHezmvRp7j0XavwdfUPQmsgw5oKOfH9rb9Y/PYwHhrelYfWKdPBhCLKoahXjqVLe/wGQMRE2kSHalWSIag0wEzjLGLMBQET+z9ZWlXLtbVo/aPI9rkt5uxJpY/+lSW+nXJH8NcXO79qAxjUr+nyMPJtn0SVVjg964rqKbr6+fjo1rMbwjnWZuHwPbetV5cJuDWhVpwpxsTFc/t7cILcyNL6+uRdt6lV1u2bg0keH0PnxKW6f/9s9/Yttq5xQjqOZOT634Yx2dcJWL62sKkmAcwGOXJu/RGQy8BUeJ5OWPXa9iNvULR0LLZZmdxQpYpf/oZD/7/e39mHm+v288vt6j8exv/8m/H9S/gTYkezO01vw+p8bwt2MkLuub7LP+755ZXeX25eOHsLMDfu544vFNrWqsHb1qrJqdxpA0Ko7N6hWgR5Na3h8X06sEMeT57and/MkWtSuzNaD6eTkGWatP0BKcnVauxi6/urmXpz2/LRi2+snJnBOlwZk5eTx4d+bufP0FpzbpYEmd4eB3wGOMeYn4CcRqQScC9wD1BaRt4AfjTHuw+AyZGSfZMbN3lLi5xf94PXF1b2a8OncrSU+Z6S6sFtDvl+0IyjH/s+Zhac6j+hUj8XbjvB/Z7QCHFM6uzepzinJNdiw75jb4wxua28PWuu6vue+fDgyhevHLbD1/P1aJtkaYL94cWcqlY/lls9CX+i8Td2qrHlyKL+t3EOFuFiGtK9L8qgJPj13RKfgTudtllSJTQfSbT/uXYNaMsiG12RixTjO6lSflCY12HH4OAu2HmbspJPraDVLqsQPt/Vh+c5Urv7gH7+PP7FI+YvvF+7g3m+XBtzufI1rVGTK//X36Uvn1b2TC243qVkJ8JyD1qRmJeonJrArNaNg260DmnP/0DYF90ef3c7VU1WIiLEhd0BEquMo/HepMSasmXUpKSlmwQJ73+xLIi/P0MxpfRp/zbp/IA2r+z5EAjBl5R5u/nRhic/pq74tavL3hoNBP0+++Q8N5pSnf7f9uJPu7udx+r2/fP3Q9MXSR4e47U4P5NxT/q8/Q16e4fKx01rVombleDo2SAxa/s/CrYe58K3ZQTm2O6ueOLNYKfs5Gw/6NPzibvaRXd74cz0vTFnncZ/OjaqxdPsR3495RVfO6lQ/wJb5xxhDx8emcMyPIZsrezbm6SIJ3MYYmj5Q8vdNcCTy3jukNbWqeF/MMlDP/7aG//21EYAWtSvz652n6iypMBCRhcaYYomotixgYYw5DLxr/SggJkbY9MxwXpiyljenbfT7+f4GNwBD2odmJdmPr+tBi4cmheRcANUr+v5B76uLuze0NbgBR3L5Wa/bMyXan+AGoE/zmsze6DnobFO3Cq3qVOGzG3py55eLOHw8G3Dk+8x/aHBI8gO6Nwn9jD9X6/T40o61TwWngKOzCh7WEGpXrypf3tyLxApxbj/4nQPWVy/rwrAO9YgvF5x6XJ6ICD/d3ofBL7kOnovq1zKJJ1yUvxAR3r6qG2/8tYEvbupF6vFs/tl8iDPa12HW+gM0rlGRP9fswxh4+XdHYPjKpV14+KcVPHNBR85sX4fyIawLdu8ZrbmmdzJzNx3UJU0ikC09OJEkUnpwnF39wTxmrve9Ns7nN/b0Or3THTt7EdzZMnYEH8/ewqPjVwb9XFf1asxT53X0+xp6s/7pYcTF2vtBkJObZ0vg5+qbrS8WbTvMBW+67x2Z+8Ag6iaenBacnZvHezM3cX3fpiH91rlsxxHOeeNvl4/VrBTPwfQs2871r9Oa8cCwti4f8/S38uplXULygZWVk0erh0++Zr6/tY/b4OtoRjYdHzuZATD+jr50aliNnUdOMG3tPq7s2STo7fVmd+oJXv9zA8bAl/9sc7nPhyNTOL1N4MNnh9KzqBAXW6IK5Cq6uOvB0QAnRO76cjHjl+7yut/gtrV5/9pTSnyeaWv3MfKj+SV+vje+dn/bFWite2oY8eVi2JeWQQ+bCpLlfzAEw6nP/smOwydK9Ny7BrXk31buT0m9+vv6gm+2+R4/pz27Uk8wamibiJnFsTv1BONmb+Gd6ZsKts154HTqVEkIaGi3KE9DTGMmruadGZtcPrZ5zPCQXSvnv5VFj5xBjUru6x+lZ+bw7YLtVK8UH/E9BlsOpHPgWCZdG1fXGYEqqII6RKW8e+3yrtw7pJXLrPt8X9zYkz4l7LnJ50tZ+UCEuqhgfnd7bRsKkk37zwCSkyoFfBxPLjulkdecClc+vr4Hp7WqFfD57x7ckotSGnIiK4cWtT0XLQyneokVeGBYW/5vcCse+nEF9w9rTe0qjv/jb2/pzcVvz/H4/LhY4fFzOpCbl8eetIyCPAhnzsmerjwwvC1DO9SlQbUK3Pb5IhZsPUzvZjX54qaeIQ0E29aryurdaXRqmOgxuAGoVL4cI0tJfaTkpEpB/3tTyhPtwQmx3DzDnrQMfl6yk+OZueQaQ+Xy5Ti/awPbCooFc5hqw9PDKOfD0I4dbTi1RVKhytD+HPPtq7qx72gmApzStAat61QJyYeWc67E/UPb8NX8bWw9eByATc8M54fFO4kRqJuYwP6jmXz5zzbGXddDExOLWLkrlb83HGD2xoNMW7u/0GM9m9Zg3HU9ig1N5OTmMfKj+czacID3rklhcNvafv2f5+Tm+fTatltenuGvtfvo2ri61wBHKVWcDlGVIZe/O5c5mwKf5VQ1oRw/3d6XfUcz+WDWZkaf1Y5GNXxLfl6w5RAH07MY0q4Ov63cwy2fLeLCbg25a1CLgl6sHsk1+GfLIbfHmHHfwELF9nwJcE5Jrs5nN/YMaaJhUVe+P5dl21NZNPoMcvMM45fsomezGgVTT5V/TmTlknoim5qV423Pm1JKlX4a4JQhJ7JyaTt6ckDHeOzsdrZ2hW89mE6DahWKfUM+mpHN+zM307ZeVYZ2qEvq8WzenL6BU1sk0a9l4SGbDfuOepylce8ZrbhzUEvb2qyUUiryaQ5OGeJpVsHN/Zvx4PC2HM3I5rO52/h5yU7W7DlaaJ8fb+tje66Nu96LKglxBUX1wFFYzN2slxa1qxBfLoasnLxij911egsNbpRSShXQHpwo9c70jYxxqji69qmhYR22sdOX/2zj6/nbWWIVP7tncEvuGRzY7COllFKlk/bglDE392/Gz0t2sWp3Gm9e2S1qghuAy3s05vIejUm3qqZWKsGqvkoppaKbfjJEKREpts5LtNHARimllDs6JUEppZRSUUcDHKWUUkpFnahLMhaR/cDWIJ4iCbBvUaSySa+hPfQ6Bk6voT30OgZOr2HJNTHGFCsFH3UBTrCJyAJX2drKd3oN7aHXMXB6De2h1zFweg3tp0NUSimllIo6GuAopZRSKupogOO/d8PdgCig19Aeeh0Dp9fQHnodA6fX0Gaag6OUUkqpqKM9OEoppZSKOhrgKKWUUirqaIDjgogMFZG1IrJBREa5eLy8iHxtPT5PRJLD0MyI58N1HCki+0VkifVzYzjaGclE5EMR2SciK9w8LiLymnWNl4lIt1C3MdL5cA0HiEiq0+twdKjbGOlEpJGI/CUiq0RkpYjc7WIffS164eN11NejTXQxnyJEJBb4H3AGsAOYLyLjjTGrnHa7AThsjGkhIpcBzwKXhr61kcvH6wjwtTHmjpA3sPQYB7wBfOLm8WFAS+unJ/CW9a86aRyeryHATGPMWaFpTqmUA9xrjFkkIlWAhSIytcjfs74WvfPlOoK+Hm2hPTjF9QA2GGM2GWOygK+Ac4vscy7wsXX7O2CQiEgI21ga+HIdlRfGmBnAIQ+7nAt8YhzmAtVEpF5oWlc6+HANlRfGmN3GmEXW7aPAaqBBkd30teiFj9dR2UQDnOIaANud7u+g+AuwYB9jTA6QCtQMSetKD1+uI8CFVnf2dyLSKDRNiyq+XmflWW8RWSoik0SkfbgbE8msIfmuwLwiD+lr0Q8eriPo69EWGuCocPoFSDbGdAKmcrJXTKlQWoRjLZvOwOvAT+FtTuQSkcrA98A9xpi0cLentPJyHfX1aBMNcIrbCTj3JDS0trncR0TKAYnAwZC0rvTweh2NMQeNMZnW3feB7iFqWzTx5fWqPDDGpBljjlm3JwJxIpIU5mZFHBGJw/Gh/Lkx5gcXu+hr0QferqO+Hu2jAU5x84GWItJUROKBy4DxRfYZD1xr3b4I+NNoxcSivF7HIuPz5+AYj1b+GQ9cY81g6QWkGmN2h7tRpYmI1M3PoRORHjjeF/ULixPr+nwArDbGvORmN30teuHLddTXo310FlURxpgcEbkD+A2IBT40xqwUkSeABcaY8TheoJ+KyAYcyYuXha/FkcnH63iXiJyDY2bBIWBk2BocoUTkS2AAkCQiO4BHgTgAY8zbwERgOLABOA5cF56WRi4fruFFwK0ikgOcAC7TLyzF9AWuBpaLyBJr24NAY9DXoh98uY76erSJLtWglFJKqaijQ1RKKaWUijoa4CillFIq6miAo5RSSqmoowGOUkoppaKOBjhKKaWUijoa4CillFIq6miAo5QKKhGpKSJLrJ89IrLTun1MRN4MwvnGichmEbnFxmM+b7X9P3YdUykVXFroTykVVMaYg0AXABF5DDhmjHkhyKe9zxjznV0HM8bcJyLpdh1PKRV82oOjlAoLERkgIr9atx8TkY9FZKaIbBWRC0TkORFZLiKTrfV7EJHuIjJdRBaKyG9Flvtwd56LRWSFtTrzDGtbrNUrM99azf5fTvvfb513qYiMDdbvr5QKLu3BUUpFiubAQKAdMAe40BjzXxH5ERghIhNwrK58rjFmv4hcCjwNXO/luKOBM40xO0WkmrXtBhxrJZ0iIuWBv0VkCtAGOBfoaYw5LiI17P4llVKhoQGOUipSTDLGZIvIchzrl022ti8HkoHWQAdgqrUWYSzgy2KOfwPjROQbIH/15iFAJxG5yLqfCLQEBgMfGWOOAxhjDgX6SymlwkMDHKVUpMgEMMbkiUi20wKDeTjeqwRYaYzp7c9BjTG3iEhPYASwUES6W8e60xjzm/O+InJmoL+EUioyaA6OUqq0WAvUEpHeACISJyLtvT1JRJobY+YZY0YD+4FGOFa5v9Upt6eViFQCpgLXiUhFa7sOUSlVSmkPjlKqVDDGZFlDSq+JSCKO969XgJVenvq8iLTE0WvzB7AUWIZj2GuROMa79gPnGWMmi0gXYIGIZAETgQeD8OsopYJMTvYCK6VU6Sci44Bf7Zwmbh33MUIzxV0pZQMdolJKRZtU4Em7C/0BVwFaC0epUkJ7cJRSSikVdbQHRymllFJRRwMcpZRSSkUdDXCUUkopFXU0wFFKKaVU1Pl/kUg06vwJ+fYAAAAASUVORK5CYII=\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "timeaxis = np.arange(len(x)) / sr\n", "\n", "fig, ax = subplots(2,1, figsize=(8,4))\n", "ax[0].set_title(\"Input waveform\")\n", "ax[1].set_title(\"Output waveform after mu-law\")\n", "\n", "for a in ax:\n", " a.set_xlabel(\"Time [sec]\")\n", " a.set_ylabel(\"Amplitude\")\n", "ax[0].plot(timeaxis, x)\n", "ax[1].plot(timeaxis, quantized_x)\n", "plt.tight_layout()" ] }, { "cell_type": "markdown", "id": "clinical-fifteen", "metadata": {}, "source": [ "#### レシピの stage 3 の実行\n", "\n", "上記の処理を行うバッチ処理のプログラムは、`preprocess_wavenet.py` にあります。" ] }, { "cell_type": "code", "execution_count": 29, "id": "simplified-jason", "metadata": { "execution": { "iopub.execute_input": "2021-08-21T07:44:24.774776Z", "iopub.status.busy": "2021-08-21T07:44:24.774507Z", "iopub.status.idle": "2021-08-21T07:44:24.776171Z", "shell.execute_reply": "2021-08-21T07:44:24.775888Z" } }, "outputs": [], "source": [ "if run_sh:\n", " ! ./run.sh --stage 3 --stop-stage 3 --n-jobs $n_jobs" ] }, { "cell_type": "markdown", "id": "generic-uniform", "metadata": {}, "source": [ "### 特徴量の正規化" ] }, { "cell_type": "markdown", "id": "quiet-johnson", "metadata": {}, "source": [ "正規化のための統計量を計算するコマンドラインプログラムは、 `recipes/common/fit_scaler.py` を参照してください。また、正規化を行うコマンドラインプログラムは、 `recipes/common/preprocess_normalize.py` を参照してください。" ] }, { "cell_type": "markdown", "id": "bigger-discretion", "metadata": {}, "source": [ "#### レシピの stage 4 の実行" ] }, { "cell_type": "code", "execution_count": 30, "id": "regulated-distributor", "metadata": { "execution": { "iopub.execute_input": "2021-08-21T07:44:24.778362Z", "iopub.status.busy": "2021-08-21T07:44:24.778091Z", "iopub.status.idle": "2021-08-21T07:44:24.779593Z", "shell.execute_reply": "2021-08-21T07:44:24.779308Z" } }, "outputs": [], "source": [ "if run_sh:\n", " ! ./run.sh --stage 4 --stop-stage 4 --n-jobs $n_jobs" ] }, { "cell_type": "markdown", "id": "short-college", "metadata": {}, "source": [ "#### 正規化の処理の結果の確認" ] }, { "cell_type": "code", "execution_count": 31, "id": "combined-tamil", "metadata": { "execution": { "iopub.execute_input": "2021-08-21T07:44:24.782956Z", "iopub.status.busy": "2021-08-21T07:44:24.782670Z", "iopub.status.idle": "2021-08-21T07:44:25.138738Z", "shell.execute_reply": "2021-08-21T07:44:25.138440Z" } }, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# 言語特徴量の正規化前後\n", "in_feats = np.load(f\"dump/jsut_sr16000/org/train/in_logf0/{train_utt}-feats.npy\")\n", "in_feats_norm = np.load(f\"dump/jsut_sr16000/norm/train/in_logf0/{train_utt}-feats.npy\")\n", "fig, ax = plt.subplots(2, 1, figsize=(8,6))\n", "ax[0].set_title(\"Linguistic features (before normalization)\")\n", "ax[1].set_title(\"Linguistic features (after normalization)\")\n", "hop_length = int(sr * 0.005)\n", "mesh = librosa.display.specshow(\n", " in_feats.T, sr=sr, hop_length=hop_length, x_axis=\"time\", y_axis=\"frames\", ax=ax[0], cmap=cmap)\n", "fig.colorbar(mesh, ax=ax[0])\n", "mesh = librosa.display.specshow(\n", " in_feats_norm.T, sr=sr, hop_length=hop_length, x_axis=\"time\", y_axis=\"frames\",ax=ax[1], cmap=cmap)\n", "# NOTE: 実際には [-4, 4]の範囲外の値もありますが、視認性のために [-4, 4]に設定します\n", "mesh.set_clim(-4, 4)\n", "fig.colorbar(mesh, ax=ax[1])\n", "\n", "for a in ax:\n", " a.set_xlabel(\"Time [sec]\")\n", " a.set_ylabel(\"Context\")\n", " # 末尾の非音声区間を除く\n", " a.set_xlim(0, 2.55)\n", " \n", "plt.tight_layout()" ] }, { "cell_type": "markdown", "id": "pressing-beverage", "metadata": {}, "source": [ "## 8.3 継続長モデルの学習" ] }, { "cell_type": "markdown", "id": "behind-force", "metadata": {}, "source": [ "### 継続長モデルの設定ファイル" ] }, { "cell_type": "code", "execution_count": 32, "id": "hollywood-afternoon", "metadata": { "execution": { "iopub.execute_input": "2021-08-21T07:44:25.140991Z", "iopub.status.busy": "2021-08-21T07:44:25.140705Z", "iopub.status.idle": "2021-08-21T07:44:25.274619Z", "shell.execute_reply": "2021-08-21T07:44:25.273068Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "netG:\r\n", " _target_: ttslearn.dnntts.LSTMRNN\r\n", " in_dim: 325\r\n", " out_dim: 1\r\n", " hidden_dim: 64\r\n", " bidirectional: False\r\n", " num_layers: 2\r\n", " dropout: 0.5\r\n", "\r\n", "stream_sizes: [1]\r\n", "has_dynamic_features: [false]\r\n" ] } ], "source": [ "! cat conf/train_dnntts/model/{duration_config_name}.yaml" ] }, { "cell_type": "markdown", "id": "adequate-portuguese", "metadata": {}, "source": [ "### 継続長モデルのインスタンス化" ] }, { "cell_type": "code", "execution_count": 33, "id": "coastal-organizer", "metadata": { "execution": { "iopub.execute_input": "2021-08-21T07:44:25.298091Z", "iopub.status.busy": "2021-08-21T07:44:25.297308Z", "iopub.status.idle": "2021-08-21T07:44:25.306384Z", "shell.execute_reply": "2021-08-21T07:44:25.305871Z" } }, "outputs": [ { "data": { "text/plain": [ "LSTMRNN(\n", " (lstm): LSTM(325, 64, num_layers=2, batch_first=True, dropout=0.5)\n", " (hidden2out): Linear(in_features=64, out_features=1, bias=True)\n", ")" ] }, "execution_count": 1, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import hydra\n", "from omegaconf import OmegaConf\n", "hydra.utils.instantiate(OmegaConf.load(f\"conf/train_dnntts/model/{duration_config_name}.yaml\").netG)" ] }, { "cell_type": "markdown", "id": "extensive-boxing", "metadata": {}, "source": [ "### レシピの stage 5 の実行" ] }, { "cell_type": "code", "execution_count": 34, "id": "bibliographic-amino", "metadata": { "execution": { "iopub.execute_input": "2021-08-21T07:44:25.311013Z", "iopub.status.busy": "2021-08-21T07:44:25.310524Z", "iopub.status.idle": "2021-08-21T07:44:25.312882Z", "shell.execute_reply": "2021-08-21T07:44:25.312416Z" } }, "outputs": [], "source": [ "if run_sh:\n", " ! ./run.sh --stage 5 --stop-stage 5 --duration-model $duration_config_name \\\n", " --tqdm $run_sh_tqdm --dnntts-data-batch-size $dnntts_batch_size --dnntts-train-nepochs $dnntts_nepochs \\\n", " --cudnn-benchmark $cudnn_benchmark --cudnn-deterministic $cudnn_deterministic" ] }, { "cell_type": "markdown", "id": "fixed-plaintiff", "metadata": {}, "source": [ "### 損失関数の値の推移\n", "\n", "著者による実験結果です。Tensorboardのログは https://tensorboard.dev/ にアップロードされています。\n", "ログデータを`tensorboard` パッケージを利用してダウンロードします。\n", "\n", "https://tensorboard.dev/experiment/yXyg9qgfQRSGxvil5FA4xw/" ] }, { "cell_type": "code", "execution_count": 35, "id": "outdoor-vegetation", "metadata": { "execution": { "iopub.execute_input": "2021-08-21T07:44:25.316907Z", "iopub.status.busy": "2021-08-21T07:44:25.316474Z", "iopub.status.idle": "2021-08-21T07:44:25.976117Z", "shell.execute_reply": "2021-08-21T07:44:25.975829Z" } }, "outputs": [ { "data": { "text/plain": [ "array(['jsut_sr16000_duration_rnn', 'jsut_sr16000_logf0_rnn',\n", " 'jsut_sr16000_wavenet_sr16k_mulaw256'], dtype=object)" ] }, "execution_count": 1, "metadata": {}, "output_type": "execute_result" } ], "source": [ "if exists(\"tensorboard/all_log.csv\"):\n", " df = pd.read_csv(\"tensorboard/all_log.csv\")\n", "else:\n", " experiment_id = \"yXyg9qgfQRSGxvil5FA4xw\"\n", " experiment = tb.data.experimental.ExperimentFromDev(experiment_id)\n", " df = experiment.get_scalars() \n", " df.to_csv(\"tensorboard/all_log.csv\", index=False)\n", "df[\"run\"].unique()" ] }, { "cell_type": "code", "execution_count": 36, "id": "framed-culture", "metadata": { "execution": { "iopub.execute_input": "2021-08-21T07:44:26.000031Z", "iopub.status.busy": "2021-08-21T07:44:25.999741Z", "iopub.status.idle": "2021-08-21T07:44:26.472996Z", "shell.execute_reply": "2021-08-21T07:44:26.472695Z" } }, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "duration_loss = df[df.run.str.contains(\"duration\")]\n", "\n", "duration_train_loss = duration_loss[duration_loss.tag.str.contains(\"Loss/train\")]\n", "duration_dev_loss = duration_loss[duration_loss.tag.str.contains(\"Loss/dev\")]\n", "\n", "fig, ax = plt.subplots(figsize=(6,4))\n", "ax.plot(duration_train_loss[\"step\"], duration_train_loss[\"value\"], label=\"Train\")\n", "ax.plot(duration_dev_loss[\"step\"], duration_dev_loss[\"value\"], \"--\", label=\"Dev\")\n", "ax.set_xlabel(\"Epoch\")\n", "ax.set_ylabel(\"Epoch loss\")\n", "plt.legend()\n", "\n", "# 図8-3\n", "savefig(\"fig/wavenet_impl_duration_loss\")" ] }, { "cell_type": "markdown", "id": "approved-consultation", "metadata": {}, "source": [ "## 8.4 対数 F0 予測モデルの学習" ] }, { "cell_type": "markdown", "id": "magnetic-firmware", "metadata": {}, "source": [ "### 対数 F0 予測モデルの設定ファイル" ] }, { "cell_type": "code", "execution_count": 37, "id": "multiple-sudan", "metadata": { "execution": { "iopub.execute_input": "2021-08-21T07:44:26.480590Z", "iopub.status.busy": "2021-08-21T07:44:26.480282Z", "iopub.status.idle": "2021-08-21T07:44:26.608959Z", "shell.execute_reply": "2021-08-21T07:44:26.607659Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "netG:\r\n", " _target_: ttslearn.dnntts.LSTMRNN\r\n", " in_dim: 329\r\n", " out_dim: 4\r\n", " hidden_dim: 64\r\n", " bidirectional: True\r\n", " num_layers: 2\r\n", " dropout: 0.5\r\n", "\r\n", "# (lf0, vuv)\r\n", "stream_sizes: [3, 1]\r\n", "has_dynamic_features: [true, false]\r\n", "num_windows: 3\r\n" ] } ], "source": [ "! cat conf/train_dnntts/model/{logf0_config_name}.yaml" ] }, { "cell_type": "markdown", "id": "monthly-electric", "metadata": {}, "source": [ "### 対数 F0 予測モデルのインスタンス化" ] }, { "cell_type": "code", "execution_count": 38, "id": "silent-jones", "metadata": { "execution": { "iopub.execute_input": "2021-08-21T07:44:26.639208Z", "iopub.status.busy": "2021-08-21T07:44:26.636767Z", "iopub.status.idle": "2021-08-21T07:44:26.650914Z", "shell.execute_reply": "2021-08-21T07:44:26.651415Z" } }, "outputs": [ { "data": { "text/plain": [ "LSTMRNN(\n", " (lstm): LSTM(329, 64, num_layers=2, batch_first=True, dropout=0.5, bidirectional=True)\n", " (hidden2out): Linear(in_features=128, out_features=4, bias=True)\n", ")" ] }, "execution_count": 1, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import hydra\n", "from omegaconf import OmegaConf\n", "hydra.utils.instantiate(OmegaConf.load(f\"conf/train_dnntts/model/{logf0_config_name}.yaml\").netG)" ] }, { "cell_type": "markdown", "id": "photographic-present", "metadata": {}, "source": [ "### レシピの stage 6 の実行" ] }, { "cell_type": "code", "execution_count": 39, "id": "curious-reporter", "metadata": { "execution": { "iopub.execute_input": "2021-08-21T07:44:26.655383Z", "iopub.status.busy": "2021-08-21T07:44:26.654966Z", "iopub.status.idle": "2021-08-21T07:44:26.656888Z", "shell.execute_reply": "2021-08-21T07:44:26.656442Z" } }, "outputs": [], "source": [ "if run_sh:\n", " ! ./run.sh --stage 6 --stop-stage 6 --logf0-model $logf0_config_name \\\n", " --tqdm $run_sh_tqdm --dnntts-data-batch-size $dnntts_batch_size --dnntts-train-nepochs $dnntts_nepochs \\\n", " --cudnn-benchmark $cudnn_benchmark --cudnn-deterministic $cudnn_deterministic" ] }, { "cell_type": "markdown", "id": "unavailable-biotechnology", "metadata": {}, "source": [ "### 損失関数の値の推移" ] }, { "cell_type": "code", "execution_count": 40, "id": "saving-maintenance", "metadata": { "execution": { "iopub.execute_input": "2021-08-21T07:44:26.683688Z", "iopub.status.busy": "2021-08-21T07:44:26.683396Z", "iopub.status.idle": "2021-08-21T07:44:27.098137Z", "shell.execute_reply": "2021-08-21T07:44:27.097831Z" } }, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "logf0_loss = df[df.run.str.contains(\"logf0\")]\n", "\n", "logf0_train_loss = logf0_loss[logf0_loss.tag.str.contains(\"Loss/train\")]\n", "logf0_dev_loss = logf0_loss[logf0_loss.tag.str.contains(\"Loss/dev\")]\n", "\n", "fig, ax = plt.subplots(figsize=(6,4))\n", "ax.plot(logf0_train_loss[\"step\"], logf0_train_loss[\"value\"], label=\"Train\")\n", "ax.plot(logf0_dev_loss[\"step\"], logf0_dev_loss[\"value\"], \"--\", label=\"Dev\")\n", "ax.set_xlabel(\"Epoch\")\n", "ax.set_ylabel(\"Epoch loss\")\n", "plt.legend()\n", "\n", "# 図8-4\n", "savefig(\"fig/wavenet_impl_logf0_loss\")" ] }, { "cell_type": "markdown", "id": "concerned-mainstream", "metadata": {}, "source": [ "## 8.5 WaveNet の学習スクリプトの実装" ] }, { "cell_type": "markdown", "id": "figured-small", "metadata": {}, "source": [ "### DataLoaderの実装" ] }, { "cell_type": "markdown", "id": "exciting-reducing", "metadata": {}, "source": [ "#### collate_fn の実装" ] }, { "cell_type": "code", "execution_count": 41, "id": "bulgarian-morgan", "metadata": { "execution": { "iopub.execute_input": "2021-08-21T07:44:27.102170Z", "iopub.status.busy": "2021-08-21T07:44:27.101892Z", "iopub.status.idle": "2021-08-21T07:44:27.103518Z", "shell.execute_reply": "2021-08-21T07:44:27.103234Z" } }, "outputs": [], "source": [ "def collate_fn_wavenet(batch, max_time_frames=100, hop_size=80, aux_context_window=2):\n", " max_time_steps = max_time_frames * hop_size\n", "\n", " xs, cs = [b[1] for b in batch], [b[0] for b in batch]\n", "\n", " # 条件付け特徴量の開始位置をランダム抽出した後、それに相当する短い音声波形を切り出します\n", " c_lengths = [len(c) for c in cs]\n", " start_frames = np.array(\n", " [\n", " np.random.randint(\n", " aux_context_window, cl - aux_context_window - max_time_frames\n", " )\n", " for cl in c_lengths\n", " ]\n", " )\n", " x_starts = start_frames * hop_size\n", " x_ends = x_starts + max_time_steps\n", " c_starts = start_frames - aux_context_window\n", " c_ends = start_frames + max_time_frames + aux_context_window\n", " x_batch = [x[s:e] for x, s, e in zip(xs, x_starts, x_ends)]\n", " c_batch = [c[s:e] for c, s, e in zip(cs, c_starts, c_ends)]\n", "\n", " # numpy.ndarray のリスト型から torch.Tensor 型に変換します\n", " x_batch = torch.tensor(x_batch, dtype=torch.long) # (B, T)\n", " c_batch = torch.tensor(c_batch, dtype=torch.float).transpose(2, 1) # (B, C, T')\n", "\n", " return x_batch, c_batch" ] }, { "cell_type": "markdown", "id": "engaging-princeton", "metadata": {}, "source": [ "#### DataLoader の利用例" ] }, { "cell_type": "code", "execution_count": 42, "id": "informal-crystal", "metadata": { "execution": { "iopub.execute_input": "2021-08-21T07:44:27.106347Z", "iopub.status.busy": "2021-08-21T07:44:27.106071Z", "iopub.status.idle": "2021-08-21T07:44:27.380511Z", "shell.execute_reply": "2021-08-21T07:44:27.380223Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "音声波形のサイズ: (8, 8000)\n", "条件付け特徴量のサイズ: (8, 333, 100)\n" ] } ], "source": [ "from pathlib import Path\n", "from ttslearn.train_util import Dataset\n", "from functools import partial\n", "\n", "in_paths = sorted(Path(\"./dump/jsut_sr16000/norm/dev/in_wavenet/\").glob(\"*.npy\"))\n", "out_paths = sorted(Path(\"./dump/jsut_sr16000/org/dev/out_wavenet/\").glob(\"*.npy\"))\n", "\n", "dataset = Dataset(in_paths, out_paths)\n", "collate_fn = partial(collate_fn_wavenet, max_time_frames=100, hop_size=80, aux_context_window=0)\n", "data_loader = torch.utils.data.DataLoader(dataset, batch_size=8, collate_fn=collate_fn, num_workers=0)\n", "\n", "wavs, feats = next(iter(data_loader))\n", "\n", "print(\"音声波形のサイズ:\", tuple(wavs.shape))\n", "print(\"条件付け特徴量のサイズ:\", tuple(feats.shape))" ] }, { "cell_type": "markdown", "id": "stunning-differential", "metadata": {}, "source": [ "#### ミニバッチの可視化" ] }, { "cell_type": "code", "execution_count": 43, "id": "virgin-serial", "metadata": { "execution": { "iopub.execute_input": "2021-08-21T07:44:27.399679Z", "iopub.status.busy": "2021-08-21T07:44:27.398010Z", "iopub.status.idle": "2021-08-21T07:44:28.687228Z", "shell.execute_reply": "2021-08-21T07:44:28.686937Z" } }, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "from ttslearn.dsp import inv_mulaw_quantize\n", "\n", "fig, ax = plt.subplots(len(wavs), 1, figsize=(8,10), sharex=True, sharey=True)\n", "for n in range(len(wavs)):\n", " x = wavs[n].data.numpy()\n", " x = inv_mulaw_quantize(x, 255)\n", " ax[n].plot(x)\n", "\n", "ax[-1].set_xlabel(\"Time [sample]\")\n", "for a in ax:\n", " a.set_ylabel(\"Amplitude\")\n", "plt.tight_layout()\n", "\n", "# 図8-5\n", "savefig(\"fig/wavenet_impl_minibatch\")" ] }, { "cell_type": "markdown", "id": "practical-array", "metadata": {}, "source": [ "### 簡易的な学習スクリプトの実装" ] }, { "cell_type": "markdown", "id": "continuing-eagle", "metadata": {}, "source": [ "#### モデルパラメータの指数移動平均" ] }, { "cell_type": "code", "execution_count": 44, "id": "opening-array", "metadata": { "execution": { "iopub.execute_input": "2021-08-21T07:44:28.689835Z", "iopub.status.busy": "2021-08-21T07:44:28.689563Z", "iopub.status.idle": "2021-08-21T07:44:28.691197Z", "shell.execute_reply": "2021-08-21T07:44:28.690912Z" } }, "outputs": [], "source": [ "def moving_average_(model, model_test, beta=0.9999):\n", " for param, param_test in zip(model.parameters(), model_test.parameters()):\n", " param_test.data = torch.lerp(param.data, param_test.data, beta)" ] }, { "cell_type": "markdown", "id": "guided-billy", "metadata": {}, "source": [ "#### 学習の前準備" ] }, { "cell_type": "code", "execution_count": 45, "id": "romantic-statistics", "metadata": { "execution": { "iopub.execute_input": "2021-08-21T07:44:28.693932Z", "iopub.status.busy": "2021-08-21T07:44:28.693659Z", "iopub.status.idle": "2021-08-21T07:44:28.706951Z", "shell.execute_reply": "2021-08-21T07:44:28.706644Z" } }, "outputs": [], "source": [ "from ttslearn.wavenet import WaveNet\n", "from torch import optim\n", "\n", "# 動作確認用:層の数を減らした小さなWaveNet\n", "ToyWaveNet = partial(WaveNet, out_channels=256, layers=2, stacks=1, kernel_size=2, cin_channels=333)\n", "\n", "model = ToyWaveNet()\n", "# モデルパラメータの指数移動平均\n", "model_ema = ToyWaveNet()\n", "model_ema.load_state_dict(model.state_dict())\n", "\n", "# lr は学習率を表します\n", "optimizer = optim.Adam(model.parameters(), lr=0.01)\n", "\n", "# gamma は学習率の減衰係数を表します\n", "lr_scheduler = optim.lr_scheduler.StepLR(optimizer, gamma=0.5, step_size=100000)" ] }, { "cell_type": "markdown", "id": "relative-speech", "metadata": {}, "source": [ "#### 学習ループの実装" ] }, { "cell_type": "code", "execution_count": 46, "id": "premier-participation", "metadata": { "execution": { "iopub.execute_input": "2021-08-21T07:44:28.710163Z", "iopub.status.busy": "2021-08-21T07:44:28.709877Z", "iopub.status.idle": "2021-08-21T07:45:12.963922Z", "shell.execute_reply": "2021-08-21T07:45:12.964281Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "5.545470237731934\n", "5.515237808227539\n", "5.40777587890625\n", "5.302576541900635\n", "5.261532306671143\n", "5.220343112945557\n", "5.135021209716797\n", "5.155230522155762\n", "5.145912170410156\n", "5.041654109954834\n", "5.049261569976807\n", "5.014197826385498\n", "4.965615749359131\n", "4.921651363372803\n", "4.888494491577148\n", "4.876847267150879\n", "4.818419456481934\n", "4.703741550445557\n", "4.72671365737915\n", "4.643199920654297\n", "4.637485504150391\n", "4.51542329788208\n", "4.59623908996582\n", "4.423515319824219\n", "4.415907859802246\n" ] } ], "source": [ "# DataLoader を用いたミニバッチの作成: ミニバッチ毎に処理を行う\n", "for x, c in data_loader:\n", " # 順伝播の計算\n", " x_hat = model(x, c)\n", " # 負の対数尤度の計算\n", " loss = nn.CrossEntropyLoss()(x_hat[:, :, :-1], x[:, 1:]).mean()\n", " # 損失の値を出力\n", " print(loss.item())\n", " # optimizer に蓄積された勾配をリセット\n", " optimizer.zero_grad()\n", " # 誤差の逆伝播の計算\n", " loss.backward()\n", " # パラメータの更新\n", " optimizer.step()\n", " # 移動指数平均の計算\n", " moving_average_(model, model_ema)\n", " # 学習率スケジューラの更新\n", " lr_scheduler.step()" ] }, { "cell_type": "markdown", "id": "waiting-medium", "metadata": {}, "source": [ "### 実用的な学習スクリプトの実装" ] }, { "cell_type": "markdown", "id": "charitable-steps", "metadata": {}, "source": [ "`train_wavenet.py` を参照してください。" ] }, { "cell_type": "markdown", "id": "figured-kenya", "metadata": {}, "source": [ "## 8.6 WaveNet の学習" ] }, { "cell_type": "markdown", "id": "weighted-computer", "metadata": {}, "source": [ "### WaveNet の設定ファイル" ] }, { "cell_type": "code", "execution_count": 47, "id": "geographic-greece", "metadata": { "execution": { "iopub.execute_input": "2021-08-21T07:45:12.967754Z", "iopub.status.busy": "2021-08-21T07:45:12.967407Z", "iopub.status.idle": "2021-08-21T07:45:13.128383Z", "shell.execute_reply": "2021-08-21T07:45:13.128736Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "netG:\r\n", " _target_: ttslearn.wavenet.WaveNet\r\n", " out_channels: 256\r\n", " layers: 30\r\n", " stacks: 3\r\n", " residual_channels: 64\r\n", " gate_channels: 128\r\n", " skip_out_channels: 64\r\n", " kernel_size: 3\r\n", " cin_channels: 333 # 329 (linguistic features) + 4 (logf0 + vuv)\r\n", " upsample_scales: [2, 4, 2, 5] # np.prod(upsample_scales) = 80\r\n", " aux_context_window: 2\r\n" ] } ], "source": [ "! cat conf/train_wavenet/model/{wavenet_config_name}.yaml" ] }, { "cell_type": "markdown", "id": "technical-andrew", "metadata": {}, "source": [ "### WaveNet のインスタンス化" ] }, { "cell_type": "code", "execution_count": 48, "id": "consecutive-triple", "metadata": { "execution": { "iopub.execute_input": "2021-08-21T07:45:13.131597Z", "iopub.status.busy": "2021-08-21T07:45:13.131245Z", "iopub.status.idle": "2021-08-21T07:45:13.132561Z", "shell.execute_reply": "2021-08-21T07:45:13.132903Z" } }, "outputs": [], "source": [ "import hydra\n", "from omegaconf import OmegaConf\n", "# WaveNet の 30層 すべてを表示すると長くなるため、ここでは省略します。\n", "# hydra.utils.instantiate(OmegaConf.load(f\"./conf/train_wavenet/model/{wavenet_config_name}.yaml\")[\"netG\"])" ] }, { "cell_type": "markdown", "id": "reported-while", "metadata": {}, "source": [ "### レシピの stage 7 の実行" ] }, { "cell_type": "code", "execution_count": 49, "id": "creative-negative", "metadata": { "execution": { "iopub.execute_input": "2021-08-21T07:45:13.135973Z", "iopub.status.busy": "2021-08-21T07:45:13.135641Z", "iopub.status.idle": "2021-08-21T07:45:13.136990Z", "shell.execute_reply": "2021-08-21T07:45:13.137320Z" } }, "outputs": [], "source": [ "if run_sh:\n", " ! ./run.sh --stage 7 --stop-stage 7 --wavenet-model $wavenet_config_name \\\n", " --tqdm $run_sh_tqdm --wavenet-data-batch-size $wavenet_batch_size --wavenet-train-max-train-steps $wavenet_max_train_steps \\\n", " --cudnn-benchmark $cudnn_benchmark --cudnn-deterministic $cudnn_deterministic" ] }, { "cell_type": "markdown", "id": "elect-advertiser", "metadata": {}, "source": [ "### 損失関数の値の推移" ] }, { "cell_type": "code", "execution_count": 50, "id": "functioning-popularity", "metadata": { "execution": { "iopub.execute_input": "2021-08-21T07:45:13.172395Z", "iopub.status.busy": "2021-08-21T07:45:13.172103Z", "iopub.status.idle": "2021-08-21T07:45:14.038372Z", "shell.execute_reply": "2021-08-21T07:45:14.038666Z" } }, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "wavenet_loss = df[df.run.str.contains(\"wavenet\")]\n", "\n", "wavenet_train_loss = wavenet_loss[wavenet_loss.tag.str.contains(\"Loss/train\")]\n", "wavenet_dev_loss = wavenet_loss[wavenet_loss.tag.str.contains(\"Loss/dev\")]\n", "\n", "fig, ax = plt.subplots(figsize=(6,4))\n", "ax.plot(wavenet_train_loss[\"step\"], wavenet_train_loss[\"value\"], label=\"Train\")\n", "ax.plot(wavenet_dev_loss[\"step\"], wavenet_dev_loss[\"value\"], \"--\", label=\"Dev\")\n", "ax.set_xlabel(\"Epoch\")\n", "ax.set_ylabel(\"Epoch loss\")\n", "ax.set_ylim(1.7, 2.2)\n", "plt.legend()\n", "\n", "# 図8-6\n", "savefig(\"fig/wavenet_impl_wavenet_loss\")" ] }, { "cell_type": "markdown", "id": "interior-sweden", "metadata": {}, "source": [ "## 8.7 学習済みモデルを用いてテキストから音声を合成" ] }, { "cell_type": "markdown", "id": "handed-blanket", "metadata": {}, "source": [ "### 学習済みモデルの読み込み" ] }, { "cell_type": "code", "execution_count": 51, "id": "alleged-computer", "metadata": { "execution": { "iopub.execute_input": "2021-08-21T07:45:14.041100Z", "iopub.status.busy": "2021-08-21T07:45:14.040822Z", "iopub.status.idle": "2021-08-21T07:45:14.042336Z", "shell.execute_reply": "2021-08-21T07:45:14.042051Z" } }, "outputs": [], "source": [ "import joblib\n", "device = torch.device(\"cpu\")" ] }, { "cell_type": "markdown", "id": "insured-bhutan", "metadata": {}, "source": [ "#### 継続長モデルの読み込み" ] }, { "cell_type": "code", "execution_count": 52, "id": "foster-ridge", "metadata": { "execution": { "iopub.execute_input": "2021-08-21T07:45:14.044587Z", "iopub.status.busy": "2021-08-21T07:45:14.044248Z", "iopub.status.idle": "2021-08-21T07:45:14.057515Z", "shell.execute_reply": "2021-08-21T07:45:14.057224Z" } }, "outputs": [ { "data": { "text/plain": [ "LSTMRNN(\n", " (lstm): LSTM(325, 64, num_layers=2, batch_first=True, dropout=0.5)\n", " (hidden2out): Linear(in_features=64, out_features=1, bias=True)\n", ")" ] }, "execution_count": 1, "metadata": {}, "output_type": "execute_result" } ], "source": [ "duration_config = OmegaConf.load(f\"exp/jsut_sr16000/{duration_config_name}/model.yaml\")\n", "duration_model = hydra.utils.instantiate(duration_config.netG)\n", "checkpoint = torch.load(f\"exp/jsut_sr16000/{duration_config_name}/latest.pth\", map_location=device)\n", "duration_model.load_state_dict(checkpoint[\"state_dict\"])\n", "duration_model.eval();" ] }, { "cell_type": "markdown", "id": "stopped-hormone", "metadata": {}, "source": [ "#### 対数F0予測モデルの読み込み" ] }, { "cell_type": "code", "execution_count": 53, "id": "compliant-factor", "metadata": { "execution": { "iopub.execute_input": "2021-08-21T07:45:14.059791Z", "iopub.status.busy": "2021-08-21T07:45:14.059381Z", "iopub.status.idle": "2021-08-21T07:45:14.078695Z", "shell.execute_reply": "2021-08-21T07:45:14.078969Z" } }, "outputs": [ { "data": { "text/plain": [ "LSTMRNN(\n", " (lstm): LSTM(329, 64, num_layers=2, batch_first=True, dropout=0.5, bidirectional=True)\n", " (hidden2out): Linear(in_features=128, out_features=4, bias=True)\n", ")" ] }, "execution_count": 1, "metadata": {}, "output_type": "execute_result" } ], "source": [ "logf0_config = OmegaConf.load(f\"exp/jsut_sr16000/{logf0_config_name}/model.yaml\")\n", "logf0_model = hydra.utils.instantiate(logf0_config.netG)\n", "checkpoint = torch.load(f\"exp/jsut_sr16000/{logf0_config_name}/latest.pth\", map_location=device)\n", "logf0_model.load_state_dict(checkpoint[\"state_dict\"])\n", "logf0_model.eval();" ] }, { "cell_type": "markdown", "id": "expired-passion", "metadata": {}, "source": [ "#### WaveNetの読み込み" ] }, { "cell_type": "code", "execution_count": 54, "id": "elegant-enhancement", "metadata": { "execution": { "iopub.execute_input": "2021-08-21T07:45:14.081423Z", "iopub.status.busy": "2021-08-21T07:45:14.081151Z", "iopub.status.idle": "2021-08-21T07:45:14.373509Z", "shell.execute_reply": "2021-08-21T07:45:14.373787Z" } }, "outputs": [ { "data": { "text/plain": [ "WaveNet(\n", " (first_conv): Conv1d(256, 64, kernel_size=(1,), stride=(1,))\n", " (main_conv_layers): ModuleList(\n", " (0): ResSkipBlock(\n", " (conv): Conv1d(64, 128, kernel_size=(3,), stride=(1,), padding=(2,))\n", " (conv1x1c): Conv1d(333, 128, kernel_size=(1,), stride=(1,), bias=False)\n", " (conv1x1_out): Conv1d(64, 64, kernel_size=(1,), stride=(1,))\n", " (conv1x1_skip): Conv1d(64, 64, kernel_size=(1,), stride=(1,))\n", " )\n", " (1): ResSkipBlock(\n", " (conv): Conv1d(64, 128, kernel_size=(3,), stride=(1,), padding=(4,), dilation=(2,))\n", " (conv1x1c): Conv1d(333, 128, kernel_size=(1,), stride=(1,), bias=False)\n", " (conv1x1_out): Conv1d(64, 64, kernel_size=(1,), stride=(1,))\n", " (conv1x1_skip): Conv1d(64, 64, kernel_size=(1,), stride=(1,))\n", " )\n", " (2): ResSkipBlock(\n", " (conv): Conv1d(64, 128, kernel_size=(3,), stride=(1,), padding=(8,), dilation=(4,))\n", " (conv1x1c): Conv1d(333, 128, kernel_size=(1,), stride=(1,), bias=False)\n", " (conv1x1_out): Conv1d(64, 64, kernel_size=(1,), stride=(1,))\n", " (conv1x1_skip): Conv1d(64, 64, kernel_size=(1,), stride=(1,))\n", " )\n", " (3): ResSkipBlock(\n", " (conv): Conv1d(64, 128, kernel_size=(3,), stride=(1,), padding=(16,), dilation=(8,))\n", " (conv1x1c): Conv1d(333, 128, kernel_size=(1,), stride=(1,), bias=False)\n", " (conv1x1_out): Conv1d(64, 64, kernel_size=(1,), stride=(1,))\n", " (conv1x1_skip): Conv1d(64, 64, kernel_size=(1,), stride=(1,))\n", " )\n", " (4): ResSkipBlock(\n", " (conv): Conv1d(64, 128, kernel_size=(3,), stride=(1,), padding=(32,), dilation=(16,))\n", " (conv1x1c): Conv1d(333, 128, kernel_size=(1,), stride=(1,), bias=False)\n", " (conv1x1_out): Conv1d(64, 64, kernel_size=(1,), stride=(1,))\n", " (conv1x1_skip): Conv1d(64, 64, kernel_size=(1,), stride=(1,))\n", " )\n", " (5): ResSkipBlock(\n", " (conv): Conv1d(64, 128, kernel_size=(3,), stride=(1,), padding=(64,), dilation=(32,))\n", " (conv1x1c): Conv1d(333, 128, kernel_size=(1,), stride=(1,), bias=False)\n", " (conv1x1_out): Conv1d(64, 64, kernel_size=(1,), stride=(1,))\n", " (conv1x1_skip): Conv1d(64, 64, kernel_size=(1,), stride=(1,))\n", " )\n", " (6): ResSkipBlock(\n", " (conv): Conv1d(64, 128, kernel_size=(3,), stride=(1,), padding=(128,), dilation=(64,))\n", " (conv1x1c): Conv1d(333, 128, kernel_size=(1,), stride=(1,), bias=False)\n", " (conv1x1_out): Conv1d(64, 64, kernel_size=(1,), stride=(1,))\n", " (conv1x1_skip): Conv1d(64, 64, kernel_size=(1,), stride=(1,))\n", " )\n", " (7): ResSkipBlock(\n", " (conv): Conv1d(64, 128, kernel_size=(3,), stride=(1,), padding=(256,), dilation=(128,))\n", " (conv1x1c): Conv1d(333, 128, kernel_size=(1,), stride=(1,), bias=False)\n", " (conv1x1_out): Conv1d(64, 64, kernel_size=(1,), stride=(1,))\n", " (conv1x1_skip): Conv1d(64, 64, kernel_size=(1,), stride=(1,))\n", " )\n", " (8): ResSkipBlock(\n", " (conv): Conv1d(64, 128, kernel_size=(3,), stride=(1,), padding=(512,), dilation=(256,))\n", " (conv1x1c): Conv1d(333, 128, kernel_size=(1,), stride=(1,), bias=False)\n", " (conv1x1_out): Conv1d(64, 64, kernel_size=(1,), stride=(1,))\n", " (conv1x1_skip): Conv1d(64, 64, kernel_size=(1,), stride=(1,))\n", " )\n", " (9): ResSkipBlock(\n", " (conv): Conv1d(64, 128, kernel_size=(3,), stride=(1,), padding=(1024,), dilation=(512,))\n", " (conv1x1c): Conv1d(333, 128, kernel_size=(1,), stride=(1,), bias=False)\n", " (conv1x1_out): Conv1d(64, 64, kernel_size=(1,), stride=(1,))\n", " (conv1x1_skip): Conv1d(64, 64, kernel_size=(1,), stride=(1,))\n", " )\n", " (10): ResSkipBlock(\n", " (conv): Conv1d(64, 128, kernel_size=(3,), stride=(1,), padding=(2,))\n", " (conv1x1c): Conv1d(333, 128, kernel_size=(1,), stride=(1,), bias=False)\n", " (conv1x1_out): Conv1d(64, 64, kernel_size=(1,), stride=(1,))\n", " (conv1x1_skip): Conv1d(64, 64, kernel_size=(1,), stride=(1,))\n", " )\n", " (11): ResSkipBlock(\n", " (conv): Conv1d(64, 128, kernel_size=(3,), stride=(1,), padding=(4,), dilation=(2,))\n", " (conv1x1c): Conv1d(333, 128, kernel_size=(1,), stride=(1,), bias=False)\n", " (conv1x1_out): Conv1d(64, 64, kernel_size=(1,), stride=(1,))\n", " (conv1x1_skip): Conv1d(64, 64, kernel_size=(1,), stride=(1,))\n", " )\n", " (12): ResSkipBlock(\n", " (conv): Conv1d(64, 128, kernel_size=(3,), stride=(1,), padding=(8,), dilation=(4,))\n", " (conv1x1c): Conv1d(333, 128, kernel_size=(1,), stride=(1,), bias=False)\n", " (conv1x1_out): Conv1d(64, 64, kernel_size=(1,), stride=(1,))\n", " (conv1x1_skip): Conv1d(64, 64, kernel_size=(1,), stride=(1,))\n", " )\n", " (13): ResSkipBlock(\n", " (conv): Conv1d(64, 128, kernel_size=(3,), stride=(1,), padding=(16,), dilation=(8,))\n", " (conv1x1c): Conv1d(333, 128, kernel_size=(1,), stride=(1,), bias=False)\n", " (conv1x1_out): Conv1d(64, 64, kernel_size=(1,), stride=(1,))\n", " (conv1x1_skip): Conv1d(64, 64, kernel_size=(1,), stride=(1,))\n", " )\n", " (14): ResSkipBlock(\n", " (conv): Conv1d(64, 128, kernel_size=(3,), stride=(1,), padding=(32,), dilation=(16,))\n", " (conv1x1c): Conv1d(333, 128, kernel_size=(1,), stride=(1,), bias=False)\n", " (conv1x1_out): Conv1d(64, 64, kernel_size=(1,), stride=(1,))\n", " (conv1x1_skip): Conv1d(64, 64, kernel_size=(1,), stride=(1,))\n", " )\n", " (15): ResSkipBlock(\n", " (conv): Conv1d(64, 128, kernel_size=(3,), stride=(1,), padding=(64,), dilation=(32,))\n", " (conv1x1c): Conv1d(333, 128, kernel_size=(1,), stride=(1,), bias=False)\n", " (conv1x1_out): Conv1d(64, 64, kernel_size=(1,), stride=(1,))\n", " (conv1x1_skip): Conv1d(64, 64, kernel_size=(1,), stride=(1,))\n", " )\n", " (16): ResSkipBlock(\n", " (conv): Conv1d(64, 128, kernel_size=(3,), stride=(1,), padding=(128,), dilation=(64,))\n", " (conv1x1c): Conv1d(333, 128, kernel_size=(1,), stride=(1,), bias=False)\n", " (conv1x1_out): Conv1d(64, 64, kernel_size=(1,), stride=(1,))\n", " (conv1x1_skip): Conv1d(64, 64, kernel_size=(1,), stride=(1,))\n", " )\n", " (17): ResSkipBlock(\n", " (conv): Conv1d(64, 128, kernel_size=(3,), stride=(1,), padding=(256,), dilation=(128,))\n", " (conv1x1c): Conv1d(333, 128, kernel_size=(1,), stride=(1,), bias=False)\n", " (conv1x1_out): Conv1d(64, 64, kernel_size=(1,), stride=(1,))\n", " (conv1x1_skip): Conv1d(64, 64, kernel_size=(1,), stride=(1,))\n", " )\n", " (18): ResSkipBlock(\n", " (conv): Conv1d(64, 128, kernel_size=(3,), stride=(1,), padding=(512,), dilation=(256,))\n", " (conv1x1c): Conv1d(333, 128, kernel_size=(1,), stride=(1,), bias=False)\n", " (conv1x1_out): Conv1d(64, 64, kernel_size=(1,), stride=(1,))\n", " (conv1x1_skip): Conv1d(64, 64, kernel_size=(1,), stride=(1,))\n", " )\n", " (19): ResSkipBlock(\n", " (conv): Conv1d(64, 128, kernel_size=(3,), stride=(1,), padding=(1024,), dilation=(512,))\n", " (conv1x1c): Conv1d(333, 128, kernel_size=(1,), stride=(1,), bias=False)\n", " (conv1x1_out): Conv1d(64, 64, kernel_size=(1,), stride=(1,))\n", " (conv1x1_skip): Conv1d(64, 64, kernel_size=(1,), stride=(1,))\n", " )\n", " (20): ResSkipBlock(\n", " (conv): Conv1d(64, 128, kernel_size=(3,), stride=(1,), padding=(2,))\n", " (conv1x1c): Conv1d(333, 128, kernel_size=(1,), stride=(1,), bias=False)\n", " (conv1x1_out): Conv1d(64, 64, kernel_size=(1,), stride=(1,))\n", " (conv1x1_skip): Conv1d(64, 64, kernel_size=(1,), stride=(1,))\n", " )\n", " (21): ResSkipBlock(\n", " (conv): Conv1d(64, 128, kernel_size=(3,), stride=(1,), padding=(4,), dilation=(2,))\n", " (conv1x1c): Conv1d(333, 128, kernel_size=(1,), stride=(1,), bias=False)\n", " (conv1x1_out): Conv1d(64, 64, kernel_size=(1,), stride=(1,))\n", " (conv1x1_skip): Conv1d(64, 64, kernel_size=(1,), stride=(1,))\n", " )\n", " (22): ResSkipBlock(\n", " (conv): Conv1d(64, 128, kernel_size=(3,), stride=(1,), padding=(8,), dilation=(4,))\n", " (conv1x1c): Conv1d(333, 128, kernel_size=(1,), stride=(1,), bias=False)\n", " (conv1x1_out): Conv1d(64, 64, kernel_size=(1,), stride=(1,))\n", " (conv1x1_skip): Conv1d(64, 64, kernel_size=(1,), stride=(1,))\n", " )\n", " (23): ResSkipBlock(\n", " (conv): Conv1d(64, 128, kernel_size=(3,), stride=(1,), padding=(16,), dilation=(8,))\n", " (conv1x1c): Conv1d(333, 128, kernel_size=(1,), stride=(1,), bias=False)\n", " (conv1x1_out): Conv1d(64, 64, kernel_size=(1,), stride=(1,))\n", " (conv1x1_skip): Conv1d(64, 64, kernel_size=(1,), stride=(1,))\n", " )\n", " (24): ResSkipBlock(\n", " (conv): Conv1d(64, 128, kernel_size=(3,), stride=(1,), padding=(32,), dilation=(16,))\n", " (conv1x1c): Conv1d(333, 128, kernel_size=(1,), stride=(1,), bias=False)\n", " (conv1x1_out): Conv1d(64, 64, kernel_size=(1,), stride=(1,))\n", " (conv1x1_skip): Conv1d(64, 64, kernel_size=(1,), stride=(1,))\n", " )\n", " (25): ResSkipBlock(\n", " (conv): Conv1d(64, 128, kernel_size=(3,), stride=(1,), padding=(64,), dilation=(32,))\n", " (conv1x1c): Conv1d(333, 128, kernel_size=(1,), stride=(1,), bias=False)\n", " (conv1x1_out): Conv1d(64, 64, kernel_size=(1,), stride=(1,))\n", " (conv1x1_skip): Conv1d(64, 64, kernel_size=(1,), stride=(1,))\n", " )\n", " (26): ResSkipBlock(\n", " (conv): Conv1d(64, 128, kernel_size=(3,), stride=(1,), padding=(128,), dilation=(64,))\n", " (conv1x1c): Conv1d(333, 128, kernel_size=(1,), stride=(1,), bias=False)\n", " (conv1x1_out): Conv1d(64, 64, kernel_size=(1,), stride=(1,))\n", " (conv1x1_skip): Conv1d(64, 64, kernel_size=(1,), stride=(1,))\n", " )\n", " (27): ResSkipBlock(\n", " (conv): Conv1d(64, 128, kernel_size=(3,), stride=(1,), padding=(256,), dilation=(128,))\n", " (conv1x1c): Conv1d(333, 128, kernel_size=(1,), stride=(1,), bias=False)\n", " (conv1x1_out): Conv1d(64, 64, kernel_size=(1,), stride=(1,))\n", " (conv1x1_skip): Conv1d(64, 64, kernel_size=(1,), stride=(1,))\n", " )\n", " (28): ResSkipBlock(\n", " (conv): Conv1d(64, 128, kernel_size=(3,), stride=(1,), padding=(512,), dilation=(256,))\n", " (conv1x1c): Conv1d(333, 128, kernel_size=(1,), stride=(1,), bias=False)\n", " (conv1x1_out): Conv1d(64, 64, kernel_size=(1,), stride=(1,))\n", " (conv1x1_skip): Conv1d(64, 64, kernel_size=(1,), stride=(1,))\n", " )\n", " (29): ResSkipBlock(\n", " (conv): Conv1d(64, 128, kernel_size=(3,), stride=(1,), padding=(1024,), dilation=(512,))\n", " (conv1x1c): Conv1d(333, 128, kernel_size=(1,), stride=(1,), bias=False)\n", " (conv1x1_out): Conv1d(64, 64, kernel_size=(1,), stride=(1,))\n", " (conv1x1_skip): Conv1d(64, 64, kernel_size=(1,), stride=(1,))\n", " )\n", " )\n", " (last_conv_layers): ModuleList(\n", " (0): ReLU()\n", " (1): Conv1d(64, 64, kernel_size=(1,), stride=(1,))\n", " (2): ReLU()\n", " (3): Conv1d(64, 256, kernel_size=(1,), stride=(1,))\n", " )\n", " (upsample_net): ConvInUpsampleNetwork(\n", " (conv_in): Conv1d(333, 333, kernel_size=(5,), stride=(1,), bias=False)\n", " (upsample): UpsampleNetwork(\n", " (conv_layers): ModuleList(\n", " (0): Conv2d(1, 1, kernel_size=(1, 5), stride=(1, 1), padding=(0, 2), bias=False)\n", " (1): Conv2d(1, 1, kernel_size=(1, 9), stride=(1, 1), padding=(0, 4), bias=False)\n", " (2): Conv2d(1, 1, kernel_size=(1, 5), stride=(1, 1), padding=(0, 2), bias=False)\n", " (3): Conv2d(1, 1, kernel_size=(1, 11), stride=(1, 1), padding=(0, 5), bias=False)\n", " )\n", " )\n", " )\n", ")" ] }, "execution_count": 1, "metadata": {}, "output_type": "execute_result" } ], "source": [ "wavenet_config = OmegaConf.load(f\"exp/jsut_sr16000/{wavenet_config_name}/model.yaml\")\n", "wavenet_model = hydra.utils.instantiate(wavenet_config.netG)\n", "checkpoint = torch.load(f\"exp/jsut_sr16000/{wavenet_config_name}/latest_ema.pth\", map_location=device)\n", "wavenet_model.load_state_dict(checkpoint[\"state_dict\"])\n", "# weight normalization は推論時には不要なため除く\n", "wavenet_model.remove_weight_norm_()\n", "wavenet_model.eval();" ] }, { "cell_type": "markdown", "id": "becoming-extreme", "metadata": {}, "source": [ "#### 統計量の読み込み" ] }, { "cell_type": "code", "execution_count": 55, "id": "objective-sussex", "metadata": { "execution": { "iopub.execute_input": "2021-08-21T07:45:14.376132Z", "iopub.status.busy": "2021-08-21T07:45:14.375795Z", "iopub.status.idle": "2021-08-21T07:45:14.380932Z", "shell.execute_reply": "2021-08-21T07:45:14.380574Z" } }, "outputs": [], "source": [ "duration_in_scaler = joblib.load(\"./dump/jsut_sr16000/norm/in_duration_scaler.joblib\")\n", "duration_out_scaler = joblib.load(\"./dump/jsut_sr16000/norm/out_duration_scaler.joblib\")\n", "logf0_in_scaler = joblib.load(\"./dump/jsut_sr16000/norm/in_logf0_scaler.joblib\")\n", "logf0_out_scaler = joblib.load(\"./dump/jsut_sr16000/norm/out_logf0_scaler.joblib\")\n", "wavenet_in_scaler = joblib.load(\"./dump/jsut_sr16000/norm/in_wavenet_scaler.joblib\")" ] }, { "cell_type": "markdown", "id": "cross-favorite", "metadata": {}, "source": [ "### 音素継続長の予測" ] }, { "cell_type": "code", "execution_count": 56, "id": "advance-visibility", "metadata": { "execution": { "iopub.execute_input": "2021-08-21T07:45:14.384204Z", "iopub.status.busy": "2021-08-21T07:45:14.383919Z", "iopub.status.idle": "2021-08-21T07:45:14.678494Z", "shell.execute_reply": "2021-08-21T07:45:14.678716Z" } }, "outputs": [ { "data": { "image/png": "iVBORw0KGgoAAAANSUhEUgAAAagAAAEYCAYAAAAJeGK1AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8rg+JYAAAACXBIWXMAAAsTAAALEwEAmpwYAABjoUlEQVR4nO3dd3zU9f3A8df7RpLL3oQVwt57CARwsFTUuqtW6x6tg2K1ta1129r6q6C2daKiVcEJKg6GCgoie4RNmAlkELJ37j6/P76XECDjLrkV+Dwfj3vkxvf7/bzvcnef+37G+yNKKTRN0zQt0Jj8HYCmaZqmNURXUJqmaVpA0hWUpmmaFpB0BaVpmqYFJF1BaZqmaQHJ4u8AXBEfH69SUlL8HYamaZrmBevWrTuqlEo4+f42UUGlpKSwdu1af4ehaZqmeYGIHGjoft3Ep2mapgUkXUFpmqZpAUlXUJqmaVpA8loflIj0BubVu6sb8AjwtvP+FGA/cLVSKt9bcWiaprVWdXU1GRkZVFRU+DuUNi0kJIROnTphtVpd2t5rFZRSaicwBEBEzEAm8CnwELBUKfWMiDzkvP1Hb8WhaZrWWhkZGURERJCSkoKI+DucNkkpRV5eHhkZGXTt2tWlfXzVxDcRSFdKHQB+Acxx3j8HuNRHMWiaprVIRUUFcXFxunJqBREhLi7OrbNQX1VQ1wDvO6+3U0odcV7PAto1tIOI3CEia0VkbW5ubutKL86CNy+A4uzWHUfTtDOWrpxaz93X0OsVlIgEAZcAH578mDLW+mhwvQ+l1KtKqRFKqREJCafM33LPsn/CwVWw7B+tO46maZrmM76YqHsBsF4pVXv6ki0i7ZVSR0SkPZDjtZKfSoSayuO31842LpZgeNh7xWqapnlSXl4eEydOBCArKwuz2UztD/fVq1cTFBTksbIKCgp47733+O1vf+uxY7aUL5r4ruV48x7AZ8CNzus3Agu8VvL0zTDgKhDn07TYYOBVMH2L14rUNE2rNXPxLo8cJy4ujo0bN7Jx40buuusuZsyYUXe7qcqppqbG7bIKCgr473//25pwPcarFZSIhAGTgU/q3f0MMFlEdgOTnLe9IyIJgiNAOQABeyUER0JEg91emqZpHvX80t1eO/Zrr73GyJEjGTx4MFdccQVlZWUA3HTTTdx1112cddZZ/OEPfyA9PZ3Ro0czcOBAHn74YcLDw+uO8eyzzzJy5EgGDRrEo48+CsBDDz1Eeno6Q4YM4cEHH/Ra/K7wahOfUqoUiDvpvjyMUX2+UZoDMV3BYYeek6FED5TQNK3lHv98K9sOF7m8/S9f+anZbfp1iOTRi/u7Fcfll1/O7bffDsDDDz/M7NmzuffeewFjWPzKlSsxm81cdNFFTJ8+nWuvvZaXX365bv9Fixaxe/duVq9ejVKKSy65hOXLl/PMM8+QlpbGxo0b3YrHG9pEsthWueZd+Ow+2PU1XPScv6PRNO00l5FfRmbB8aHUP+87BkDH6BA6xYR6rJy0tDQefvhhCgoKKCkpYerUqXWPXXXVVZjNZgB++ukn5s+fD8B1113HAw88ABgV1KJFixg6dCgAJSUl7N69m+TkZI/F2FqnfwUFEBIJFa7/4tE0TWuMO2c6KQ8tZP8z07wSx0033cT8+fMZPHgwb731Ft9//33dY2FhYc3ur5TiT3/6E3feeecJ9+/fv9/DkbbcmZGLr+Nw6H8pOBz+jkTTNM0jiouLad++PdXV1bz77ruNbjd69Gg+/vhjAObOnVt3/9SpU3njjTcoKSkBIDMzk5ycHCIiIiguLvZu8C46Myqo/pfBZS+D6cx4upqmBYbpE3t67dhPPvkkZ511FqmpqfTp06fR7WbNmsVzzz3HoEGD2LNnD1FRUQBMmTKF6667jjFjxjBw4ECuvPJKiouLiYuLIzU1lQEDBvh9kIQYc2UD24gRI5RHFixUCvRscE3T3LR9+3b69u3r7zBapKysDJvNhogwd+5c3n//fRYs8N7snuY09FqKyDql1IiTtz0z+qB2L4G518EtX0PHYf6ORtM0zWfWrVvHPffcg1KK6Oho3njjDX+H5LIzo4Ky2ow5UJV6oISmaWeW8ePHs2nTJn+H0SJnRqdMSKTxV4/k0zRNazPOjAoq2FlB6TMoTdO0NuPMqKD0GZSmaVqbc2ZUUMGRMOIWSGybo3A0TdPORGdGBWUyw0Uzofu5/o5E0zStRcxmM0OGDGHAgAFcddVVdclhW+Kmm27io48+AuC2225j27ZtjW77/fffs3LlSrfLSElJ4ejRoy2OEc6UCgqMZLFVLf+HapqmucXDK3nbbDY2btxIWloaQUFBJyR+hZYtrQHw+uuv069fv0Yfb2kF5QlnTgX1Uip8cru/o9A07UzhxZW8x48fz549e/j+++8ZP348l1xyCf369cNut/Pggw/WLaHxyiuvAEbevXvuuYfevXszadIkcnKOL9h6zjnnUJsI4euvv2bYsGEMHjyYiRMnsn//fl5++WVmzpzJkCFD+OGHH8jNzeWKK65g5MiRjBw5khUrVgDGoopTpkyhf//+3HbbbXgiCcSZMQ8KjIESehSfpmme8GYDCWD7XwqjbocnE415l7VqV/I2WeCRPCjNgw9+feK+Ny90ueiamhq++uorzj//fADWr19PWloaXbt25dVXXyUqKoo1a9ZQWVlJamoqU6ZMYcOGDezcuZNt27aRnZ1Nv379uOWWW044bm5uLrfffjvLly+na9euHDt2jNjYWO666y7Cw8PrsqBfd911zJgxg3HjxnHw4EGmTp3K9u3befzxxxk3bhyPPPIICxcuZPbs2S4/p8acORVUcCSU5vo7Ck3TTnd3/wyvT4byPGOxVDFBaByMu79Vhy0vL2fIkCGAcQZ16623snLlSkaNGkXXrl0BYwmNzZs31/UvFRYWsnv3bpYvX861116L2WymQ4cOnHfeeaccf9WqVUyYMKHuWLGxsQ3GsWTJkhP6rIqKiigpKWH58uV88omxNu20adOIiYlp1fOFM6mCComCY+n+jkLTtNNBU2c8sV2h78Ww/i2whIC9CvpeAmN+azweFufWGVOt2j6ok9VfWkMpxYsvvnjC2lAAX375pdvlNcbhcLBq1SpCQkI8dszGnDl9UHpNKE3TfKU0B4bfDLctMf76aCXvqVOn8tJLL1FdXQ3Arl27KC0tZcKECcybNw+73c6RI0f47rvvTtl39OjRLF++nH379gFw7Jix0OLJy29MmTKFF198se52baU5YcIE3nvvPQC++uor8vPzW/18zpgzqPmlA7h0dEd/h6Fp2pngmnrrM/lwJe/bbruN/fv3M2zYMJRSJCQkMH/+fC677DK+/fZb+vXrR3JyMmPGjDll34SEBF599VUuv/xyHA4HiYmJLF68mIsvvpgrr7ySBQsW8OKLL/LCCy9w9913M2jQIGpqapgwYQIvv/wyjz76KNdeey39+/dn7NixHlmZ94xZbsObK1tqmnZ6a8vLbQQad5bbOCOa+G59aw1WaqDoCNir/R2Opmma5oLTuoKauXgXKQ8tZOmOHC4w/QzP9WHiw28yc/Euf4emaZqmNeO07oOaMbkXMyb34rY5ayneGQrA0ruHQadefo5M07S2RimF6BW5W8XdLqXT+gyqVpTNSrGyGTcqCv0bjKZpbU5ISAh5eXkeyY5wplJKkZeX59bwdK+eQYlINPA6MABQwC3ATmAekALsB65WSrV+PGITokOtbDeFGzd0NglN09zUqVMnMjIyyM3Vk/1bIyQkhE6dOrm8fbMVlIiEABcB44EOQDmQBixUSm1tZvfnga+VUleKSBAQCvwZWKqUekZEHgIeAv7ocsQtEG2zkm+3gRU9F0rTNLdZrda6DAua7zTZxCcijwMrgDHAz8ArwAdADfCMiCwWkUGN7BsFTABmAyilqpRSBcAvgDnOzeYAl7b6WTQjKtTKMSIonfAIdBzu7eI0TdM0D2juDGq1UurRRh57TkQSgcZmY3UFcoE3RWQwsA6YDrRTSh1xbpMFtHMzZrdF2axUEsSRAXfSIzHc28VpmqZpHtDkGZRS6pSEUSJiEpFI5+M5SqnGZtBagGHAS0qpoUApRnNe/eMrjL6pU4jIHSKyVkTWtrbdN8pmBaA8Zy8UZrbqWJqmaZpvuDSKT0TeE5FIEQnD6H/aJiIPNrNbBpChlPrZefsjjAorW0TaO4/bHshpaGel1KtKqRFKqREJCQmuhNmo6NAgAHp++Uv49slWHUvTNE3zDVeHmfdTShVh9Bd9hdF8d0NTOyilsoBDItLbeddEYBvwGXCj874bgQVuxuy22jOoSku4HiShaZrWRrhaQVlFxIpRQX2mlKqmkaa5k9wLvCsim4EhwN+AZ4DJIrIbmOS87VXRtU18pnA9zFzTNM0TPLykfUNcnQf1CsacpU3AchHpAjT7Ta+U2gickgAQ42zKZyKdFVSZhEJFgS+L1jRNOz3VX9LeSxnbXaqglFIvAC/Uu+uAiJzrlYi8wGwSIkIslBAKFYf8HY6maVrb9VQi1DSwpL0lGB5ucEhBi7k6SKKdiMwWka+ct/txvB+pTYiyWVkeMQ0mPebvUDRN09qu6ZthwFVgDjZuW0Jg4FUwfYvHi3K1D+ot4BuMTBIAu4DfeTwaL4oOtbLe1B8GXO7vUDRN09quiCQIjjCWsgfjbCo4EiI8P6XV1QoqXin1AeAAUErVAHaPR+NFUTYrqiQHDvyk14TSNE1rjdIc6DDMuD78Jq8tae9qBVUqInE4R+6JyGigTaUFj7YFMaj4B3jzfCjVCR81TdNa7Jp3oeNQsMXAxbNOXOLeg1wdxXc/xvyl7iKyAkgArvRKRF4SFWolt9rZZlpRBJEdmt5B0zRNa1xxFoQnebUIV0fxrReRs4HegAA7nXOh2owom5WdVcHGM9ZzoTRN01onsgOExnq1CJcqKBExAxdirOFkAaaICEop7wx+94Jom5UCu82IXmeT0DRNa50Ln/V6Ea428X0OVABbcA6UaGuibFaKMJZ9p7JNdZ9pmqadkVytoDoppRpc96mtiA61cljFc2jSy3TuPNrf4WiaprVdZcfg9Ykw8RHof5nXinF1FN9XIjLFa1H4QKTNShkhZLSfAlEd/R2Opmla21WcBcf2gnIlJWvLuVpBrQI+FZFyESkSkWIRaVMdOdE2Y8kN84HlkL3Nz9Fomqa1YSVZxt8I747ic7WCeg5j2fdQpVSkUipCKRXpxbg8LirUSBg7+KfpsPYNP0ejaZrWhhUbFdQbm8q9WoyrFdQhIM25Am6bVLvkRqU5HCr0IAlN07QWc1ZQz64s8Goxrg6S2At870wWW5fGti0NMw8NMmMxCWWmcCL1PChN07SWi+pEcZfJlO8MYWdWMb2TIrxSjKsV1D7nJch5aXNEhOhQq3NNKF1BaZqmtcTMxbt4fmkYcDMAU2ctB2D6xJ7MmNzLo2W5mknicY+W6ieRNivFjlA9D0rTNK2FZkzuxYzJvXht+V6e/nI7mx6ZUtfH72muZpJIAP4A9AdCau9XSp3nlai8JNpmZR7XM/iSPv4ORdM0re367xgGMQC4lEibqw1x7nN1kMS7wA6gK/A4xvLva7wUk9dE2axstneGjsP8HYqmaVrbpBQc20dxlSIm1IqIeK0oVyuoOKXUbKBaKbVMKXUL0KbOngCiQ4OILt0LG98HR5vM2KRpmuZflUVQU87B6ij6d4jyalGuVlC1mcuPiMg0ERkKeDeNrRdE2awMrlgD8++CqhJ/h6Npmtb2FBuLE+6rCKd9VEgzG7eOq42HT4lIFPB74EUgEpjhtai8JMpmJas6BKwYc6FC2tRcY03TNP8rPgLAnvIwRkbbvFpUs2dQzqU2eiqlCpVSaUqpc5VSw5VSn3k1Mi+IDrVSrJwvqJ4LpWma5r7QWEr7XcMBRzs6ePkMqtkKSillB671ahQ+Yiy5EWbc0HOhNE3T3Jc0kG2j/s5h4mnv5TMoV5v4VojIv4F5QGntnUqp9V6Jykv0GZSmaVorVZdzOL8MIGD6oIY4/z5R7z5FMyP5RGQ/UAzYgRql1AgRicWo6FIwhqtfrZTKdzniVoiyWdmlOrHu/PkMTx7uiyI1TdNOLwvuZsLedcDfvF5BNdnEJyLTnVf/6ux7qn9xdZj5uUqpIUqpEc7bDwFLlVI9gaXO2z4RZQuinBAyQnrpARKapmktUZxNkUQSEWwhIsQ7GSRqNdcHdbPz7wseLPMXwBzn9TnApR48dpOibFYEB+12vQeH2tw8Y03TNP8rySKXGNpHe/fsCZpv4tsuIruBDiKyud79AigXloFXwCIRUcArSqlXgXZKqSPOx7OAdi0JvCWibFYUwsjtz0BMCXQe6auiNU3TTg/F2Rw29aN9nHcHSEAzFZRS6loRSQK+AS5pwfHHKaUyRSQRWCwiO046vnJWXqcQkTuAOwCSk5NbUPSpgiwmQoMsVJjDCdODJDRN09xTVQpVxRwwRXi9/wlcG2aepZQarJQ6cPLFhX0znX9zgE+BUUC2iLQHcP7NaWTfV5VSI5RSIxISEtx5Tk2KtlkpM4XpYeaapmnuUg5qxj/Id+U9aR/l/TMoV1MduU1EwkQkovY6MAVIAz4DbnRudiOwwFsxNCTSZqWUML2qrqZpmruCI8gcMoP1qldA9EG1RjvgU2emWwvwnlLqaxFZA3wgIrcCB4CrvRjDKaJDrRSXhep5UJqmae6qKCQ3KwtQdPD3GZSIvOP8O72p7RqilNrrbBocrJTqr5R62nl/nlJqolKqp1JqklLqWMtCb5kom5W/B98Hv3zXl8Vqmqa1fRveZcSHo4imxCdnUM018Q0XkQ7ALSISIyKx9S9ej84Lom1BpFdGQbjn+rU0TdPOCCVZ2MVKAd7PZA7NN/G9jDGZthuwDmN4eS3lvL9NiQ610qNsM/ywCcb/3t/haJqmtR3F2RRZ4oiyBREa5M0eIkOTZ1BKqReUUn2BN5RS3ZRSXetd2lzlBMYgiZFsgaVPgMPu73A0TdPajuIjHDPF+OTsCVwcJKGU+o2IDAbGO+9arpTa3NQ+gSo61MpeFWrcqCwCW4x/A9I0TWsrSrLJcsTQwctZzGu5NMxcRO4D3gUSnZd3ReRebwbmLcaSG84KSs+F0jRNc924+5lbc47PzqBcnQd1G3CWUuoRpdQjwGjgdu+F5T3RtiCKas+g9FwoTdM0l5X3vZLPywf67AzK1V4uwVgyo5adEwdMtBlRNivF1Gvi0zRN05pXVUrens2EUkFSZGCdQb0J/Cwij4nIY8AqYLbXovKi6FAraxx9mD9lBSSP9Xc4mqZpbUNWGp0+OJ9Rph0+mQMFrg+SeE5EvgfGOe+6WSm1wWtReVGkzUo1Fo7aQ8HktUxPmqZpp5eSLACyVYxPskiAG6mOnMu7t6kl3hsSEWzBJlUM2v4cdPoldB3f/E6apmlnuuJsAHJUNEkBNkjitGEyCWEhQYw6/A4cWuXvcDRN09qGkizsmJHQOEKsZp8UecZVUADhoaFUSZAexadpmuaq4iwKzTG0iw71WZHNVlAiYhaR73wRjK9E2ayUSbieB6VpmuaqkbfyQvCdPlkHqpYrCxbaAYeIRPkgHp+ICg2iRPSSG5qmaS7rOJyPywbTwUcj+MD1QRIlwBYRWQyU1t6plLrPK1F5WZTNSpGyQVWZv0PRNE1rE8q3fU1U5RHaR/XwWZmuVlCfOC+nhWiblRvVE6z51YX+DkXTNC3w2auxffBLrjBdQYfoKT4r1tV5UHNExAYkK6V2ejkmr4sOtZJXoXA4FCZTm0yIoWma5jslOQDkEE1qIPVBAYjIxcBG4Gvn7SEi8pkX4/KqKJuVabKS6oV/8HcomqZpga/YmKSbo6J9ligWXB9m/hgwCigAUEptpA0uVlgrymZloGkf1k3v+DsUTdO0wOfMIpFLDO18lIcPXK+gqpVSJ08acng6GF+JslkpVjZMNeVgr/Z3OJqmaYHNeQZVE5pIkMV302ddHSSxVUSuA8wi0hO4D1jpvbC8Kzo06HhG84oiCIvzb0CapmmBrM9F/GN1JcGOJJ8W62pVeC/QH6gE3geKgN95KSavM4aZ1y65obNJaJqmNSmiHYsr+9MuOtynxbo6iq8M+IuI/MO4qYq9G5Z3RYdaKSSMSksEwdUV/g5H0zQtoKmdX9O5II2kHhf4tFxXR/GNFJEtwGaMCbubRGS4d0PzniiblaWO4cwe9z206+fvcDRN0wKa49unuUF97tMsEuB6E99s4LdKqRSlVApwN8Yihm1SiNVMsMVEYZkeIKFpmtYcVZzlHGLuuzlQ4HoFZVdK/VB7Qyn1I1Djyo7OZLMbROQL5+2uIvKziOwRkXkiEuR+2K2XHFLOtB1/gvRv/VG8pmla2+CwYy4/Sg7RgXUGJSLDRGQYsExEXhGRc0TkbBH5L/C9i2VMB7bXu/0PYKZSqgeQD9zagrhbLdJmZVDRd5Db5hNjaJqmeU9pLqIc5KgYn59BNTdI4l8n3X603nXV3MFFpBMwDXgauF9EBDgPuM65yRyMScAvuRKsJ1lCo6EYveSGpmlaU4prJ+lGkxgR7NOim6yglFLntvL4s4A/ABHO23FAgVKqtnkwA+jYyjJaJCLURjkh2PSihZqmaY1L7Ms/u7/NnoOCxezbNW5dGmYuItHAr4GU+vs0tdyGiFwE5Cil1onIOe4GJiJ3AHcAJCcnu7t7s6JDrZQQik3Pg9I0TWucJZiNFe2IjLH7vGhXq8MvMSqnLcC6epempAKXiMh+YC5G097zQLSI1FZynYDMhnZWSr2qlBqhlBqRkJDgYpiui7JZ2aeSIMi3E880TdPalL3LGJP7ER18mIOvlqupjkKUUve7c2Cl1J+APwE4z6AeUEr9SkQ+BK7EqLRuBBa4c1xPibZZubryYXZPuQCrPwLQNE1rA9TW+Vxf+SH/ib7F52W7egb1jojcLiLtRSS29tLCMv+IMWBiD0af1OwWHqdVokKNaqmwXM+F0jRNa0x14RGyVTTto307gg9cP4OqAp4F/sLx0XsKF5fcUEp9j3NYulJqL8bSHX4VZbNyp/lzghd8CL96y9/haJqmBaSawiM+XweqlqsV1O+BHkqpo94MxpeibFa6SDYhGZv9HYqmaVrAMpVmk0NPuvuhgnK1iW8PUObNQHwtOjSIIkIxVep5UJqmaQ1SCmt5Ljkqmg4B3MRXCmwUke8wltwAmh5mHuiMRQtDMTuqoKYSLL6dgKZpmhbwRHhxxCLmrNjLneG+/450tYKa77ycNqJtVorqL1oY7vmh7JqmaW3dgRIzoZFxmE3i87JdXQ9qjrcD8bVIm5UjKo7ssD60s1f5OxxN07TAk5XGuQdfpCT8Ur8U7+p6UPtEZO/JF28H501mk/Bz0Fm81PsNiPJLtiVN07TAdmQjl5R+RMcI36Y4quVqE9+IetdDgKuAls6DChhRNqueB6VpmtYIVZyFAGFxHfxSvkvVolIqr94lUyk1CyNLeZvWOziP+9Jvhz1L/R2KpmlawKnIP0yRCiUhJtov5buaLHZYvZsmjDMqV8++AlZ4SBBdC3ZB0WF/h6JpmhZwqvIPG+tA+WGIObheydRfF6oG2A9c7fFofMwaGmNc0UtuaJqmnaK6rNCYA+XjhQpruTqKr7XrQgWk4PBI44qerKtpmnaKLwb/l6cObuYnP2SRANeb+IKBKzh1PagnvBOWb0SGhlCsbIRXFOL7Ef6apmmB7UhRBSZzEHFhQX4p39WxgwuAX2A075XWu7Rp0TYrKxwDqArv5O9QNE3TAktFEZO3/YWp4Xsw+WGSLrjeB9VJKXW+VyPxgyiblbuqZ7By4Hn4ZxClpmlagCo6zIjipayIHum3EFw9g1opIgO9GokfRDvXhCoo03OhNE3TTlCSBYA5sr3fQnC1ghoHrBORnSKyWUS2iEibX6ci0mblScsbtP/ien+HommaFlAcRUYFFRTjv/YlV5v4LvBqFH4SbQsiQsoIKszwdyiapmkBpSwvg3AgIt5/qeBcHWZ+wNuB+ENUqHPJjepif4eiaZoWUIrKqyhSsSTExfstBv9kAAwQ0TYrxYRirS4GpZrfQdM07QyxqcvNjK38N+2j/TMHCs7wCio0yEwJYZhVDVSX+zscTdO0gHG4sALAb1kkwI0KSkS6iMgk53WbiER4LyzfEBEOB3UhLeoccOiRfJqmabXOWv8Hbrd+XTfa2R9cXQ/qduAj4BXnXZ04TVbY3Rw2hpcSH4WQKH+HommaFjB65P9Ar5B8RPyXZ8fVM6i7gVSgCEAptRtI9FZQvhSt14TSNE07UWUxIaqcapt/v+ZdraAqlVJ166KLiAU4LUYVDDbt5b+ZV0D6t/4ORdM0LTAUZwOgwv03SRdcr6CWicifAZuITAY+BD73Xli+E2ILI1IVQ3mBv0PRNE0LCDVFRwAIik7yaxyuVlAPAbnAFuBO4Evg4aZ2EJEQEVktIptEZKuIPO68v6uI/Cwie0Rknoj4J02ukzXMuSaUXnJD0zQNgILSCrY7OhMS38Wvcbi65LtDKfWaUuoqpdSVzuvNNfFVAucppQYDQ4DzRWQ08A9gplKqB5AP3NqK+FstKCwaAEe5XrRQ0zQN4EDkcC6o+gfhHfr4NQ5XR/GlishiEdklIntFZJ+I7G1qH2Uocd60Oi8KOA9jRCDAHODSloXuGWERUdiVUFmS788wNE3TAsYR5xwof07SBddz8c0GZgDrALurBxcRs3OfHsB/gHSgQClV49wkA/BfoicgKjSIufbzmBzdB/9NR9M0TQscyWue5t/WPbSPmuLXOFytoAqVUl+5e3CllB0YIiLRwKeAy+eLInIHcAdAcnKyu0W7LDrUyv01t9K/Y+rpMW5e0zStlSIKttHRVEJkiKtVhHc0WbqIDHNe/U5EngU+wehbAkAptd6VQpRSBSLyHTAGiBYRi/MsqhOQ2cg+rwKvAowYMcJrQ9qjbMYs6cLSCm8VoWma1qaEVByl2NrJr5N0ofkzqH+ddHtEveu1/UkNEpEEoNpZOdmAyRgDJL4DrgTmAjdiLCfvN1G2IN6x/o2+i0Ogz1J/hqJpmhYQImryqAgb6u8wmq6glFLnAohIN6XUCYMiRKRbM8duD8xx9kOZgA+UUl+IyDZgrog8BWzA6N/ymyiblX0EYarSS25omqZRXU64KsUe6v9OD1cbGD8Chp1034fA8MZ2UEptBk6pgp0V3ShXA/S2KJuVIkIxV2X5OxRN0zS/qyovYYV9MFWxvf0dSrN9UH2A/kCUiFxe76FIwL/jDz0kyGKiwhRGUI0+g9I0TcuuCePm6j/yj+4D/R1Ks2dQvYGLgGjg4nr3FwO3eykmn6u2RBBsLzUWLfRzp6CmaZo/1c2B8uM6ULWa64NaACwQkTFKqZ98FJPP7QoZyCKLifMdNWD239onmqZp/ha88U1+DP4vVbZl/g6l6UwSIvKwiMQ0VjmJyHkicpF3QvOdvVFn8YbtFl05aZp2xrPnH6Id+SQmBP4giS3AFyJSAazHSBgbAvTEyK+3BPibNwP0hZgQC0eO5oK9WldSmqad0aQkizyJJinEr3m8gWbOoJRSC5RSqcBdwFbAjLFo4f+AUUqpGUqpXO+H6V0j7BuZX3QtZLo079jrZi7e5e8QNE07Q4WWZRJBad2aUP7kajbz3Uqpt5RSf1dKzVJKfaOUKvd2cL5icWY0D5QlN55futvfIWiadoZqX7GXUFUBy/7h71Bcngd1WrOGRgNQVZqPv09q31990M8RaJp2RnoqEWoqiQQQYO1s42IJhodz/BKSrqCAkIhoACqK/VdBzVy864Qzp5SHFgIwfWJPZkzu5aeoNE07U7w6dD6JPz3JVPNabFJFuQria/tIckY+zJ1+iklXUIAtwlhVt7LUf2tCzZjci4l9E7nk3ysAWPnQeXSI9v88BE3Tzgx3TBvLgSPxBB+qpkJZsZlquGxkH5g21m8xubpgYYKI/FlEXhWRN2ov3g7OVyLCo5hVczm50f5Njrgnp6Tu+odrM/wYiaZpZ6LorBUUSSiXVT0Bw2+GEv8OlHD1DGoB8APGsHKXFyxsK6JCg5hVcyX9I4fQz49xpOeWYDEJ7SKD+WDtIe45rwdmk85soWma96maSiw1payLnMyUgZNg8m/9HZJrZ1BAqFLqj0qpD5RSH9devBqZD0WHWomliIpjDS5N5TPpOaV0iQvlTxf2JbOgnB92t/kR/C1yug6zP12fl3Z6OLLle8KowNF9UsD0e7taQX0hIhd6NRI/irRZmRP0DIM3POLXOPbkltA9IZzJ/doRGxbE3NWH/BqPv5yuw+xP1+elnR7yNy2kSplJGRk4X/WuVlDTcWaUEJFi5yUwJg15QESwhWJCMVX57ylV2x0cyCule2I4wRYzVwzryJLt2eQWVza/82nk9R/2Nr9RG5NXUsmd76z1dxia1qSYw8vYZOpPl/YJ/g6ljkt9UEqpCG8H4k8mk1BhCsNSfcxvMRw6Vka1XTEgohzevIDrzv0Pr/2g+GhdBr85p7vf4vKV03WY/en6vLTTi8Oh+FP1bYxMiWFkAK3o4PIwcxG5BJjgvPm9UuoL74TkH1WWcIJq/DdJtnYE31mHXoeDq+ia9m9GplzJvDUHuevsbkgAvWm8YcbkXgzpHM3Nb60BYNGMCfRq1/Z/F82Y3IuiimreXLEfgP3PTPNvQJrWgG1HilhW3o3LBg3xdygncKmCEpFngJHAu867potIqlLqT16LzMeqLRGEVPpv0cLzPh7I/pAq2OG8Y+1sPmQ2FcrKqr07GdM9zm+x+cqibVkEWUxU1Tj4cffR06KCAtiaedq0hmunqaPLX2OkCGO7T/R3KCdwtQ/qQmCyUuoNpdQbwPnAafVTcFPkObwVdovfyn+6x1wWy5jjd1hs1PS/ivPlP8xdc/qnP7I7FIu3ZTO5XzuibBZWph/1d0ge4XAoth4uJNhifNSOlVb5OSJNO0lNJaN3Pcuvw1eTGBlYC6W7WkGBsapurSgPx+F3OTHD+EBN8lv5G/JDMNvqvaw1FVhskUwY2p+v0rIoKPPdF5s/hkNvOJjP0ZIqpvZPYtqgDvy89xg1dofP4/C0fXmllFbZuWRwBwDWH/BfthJNa0jVvhWEqApKOp/r71BO4WoF9Xdgg4i8JSJzgHXA094Ly/cSg6pIKtsF1b5P0q6UIj23hHbWMuj3C+PO5DFQks01I5OpqnHwyXrfzdHyx3Dob7ZmYTUL5/ROILV7PMWVNWzOLPR5HJ6W5nwO152VjMUkrD+oKygtsBzdsJBKZSFx8GR/h3IKV5fbeB8YDXwCfAyMUUrN82Zgvjaoaj1z1R9wHN3j87JzSyoprqght8slMP73kDQIKovhl/+jX4dIBneKYt6aQyilvB7LLc5BCr6klOKbrdmM7R5PZIi1rr9txe6238yXlllIkMXEgI5R9O8QyTp9BqUFmOB9S1mj+jCyd7K/QzlFc0u+93H+HQa0BzKclw7O+04bllCjea28xPdfIHtyShAcjNvxBKyZDWPuhpRUsBvNeteMSmZndjEbDhV4LYaZi3eR8tBCvt1hpNVPeWghKQ8t9Elz387sYg4eK2Nq/yQAYsOC6Nc+khWnQT9UWmYRfZMisJbl8HzFX8jM2E/1adB0qZ0myvOxVOSxM2IMkSGBt5p4c6P47gfuAP7VwGMKOM/jEflJkHPRwrKifMJ8XHZ6bind5TCWqiLoPAoGX2NcnC4e3IEnv9jG3NUHGZYc45UYZkzuxbie8Vz18k+Ab7Opf5OWjQhM6pdYd9+4nvG8tWI/5VV2bEFmn8ThaUop0g4XGv1Py/5Jl5JN3Kk+YseRCxnY6bTrxtXaoGIJZ0TlS/xmVGd/h9Kg5pZ8v8N59QKl1Ln1Lxgj+04bIeHGF3+FH86g0nNKGGNNN250Psv4qxTs+wEqSwgPtnDxoA58vukIxRXVXotjS8bxPp8Ve3x39vLN1iyGJceQGHF8BNHY7nFU2R2sPeC/ydOtdfBYGWvUr3h60zhYOxtBcYNlCQNfTzYWh9M0P1u97xjVDmF0z47+DqVBrg6SWOnifXVEpLOIfCci20Rkq4hMd94fKyKLRWS38693TgncFBoZC0BVsR8qqNwSJtj2gi0G4noYd2auhzkXwdZPALhmVGfKq+18tumw1+JIO1xIfHgwNquJlel5XiunvkPHyth2pIip/dudcP+orrFYzcKKPb6Jwxu2ZBYyvnIWZXH96+6rIIg1EZNg+hY/RqZpQE0lAz67gEutqxjWJSC+hk/RXB9UkogMB2wiMlREhjkv5wChzRy7Bvi9UqofxgCLu0WkH/AQsFQp1RNY6rztd2FRCTxQfSeHYkb5vOz0nBL6swc6jYLajBEdh0FCH1g3B4AhnaPpkxTh1QSyWzOLGNgxkkn9klix56hPBmUs2masNzOlX9IJ94cGWRjaOcanZ3KelpZZRIE5lqDOznXGxEwQ1Rwqs0BEu6Z3PoN5q99TZ5M/yYGVtCtPp1NiPCHWwGxGb+4Mairwf0An4DmMvqh/YfRN/bmpHZVSR5RS653Xi4HtQEfgF8Ac52ZzgEtbGLtHRUeE8pH9bDItnXxabmllDYcLK/h85Dtw0czjD4jAsF9D5lrI3oqIcM3IzmzJLKwbuuxJ5VV2ducUM6BjFKnd48gpriQ9t6T5HVvpm61Z9G4XQUr8qT1/Y3vEkXa40KdzwDwpLbOQ3kkRWCoKICoZItqzo+NVhFblkV1U4e/wApY3pjnkl1bpbPInKdv2NZXKQmS/wB1K0Fwf1Bxnf9NNJ/VBXaKU+sTVQkQkBRgK/Ay0U0odcT6UBQTET8kom5WBshfT0R3Nb+xBe3NLAeiSFA9RJ7UDD7oGzEGw/m0ALhvaiWCLiXlrPH8WtT2rCIfCqKB6xAPwo5eHeeeVVLJ2/7FTmvdqjesRj1Kwam/ba+arHSAxPr4U4ntCn2lQlIF9/APcVT1DT9htxHc7jVGkv/nfOnI8UIlX1tiZtWQXZ/1taauPdbqx71zEz46+nNUrMAdIgOvzoD4WkWki8gcReaT24sq+IhKOMXfqd0qpE5KSKaMNqcF2JBG5Q0TWisja3FzvL9wXYjXzQtC/GZz+qtfLqi89t4SrzN8zau9/jYER9YXFQd+LIf1bUIqoUCsXDmzP/I2ZlFd5dmHj2rOyQdEVdF5wBUNiKlnh5X6opdtzcCiY0j+pwccHd44mLMjcJvuhMgvKKSir5hzzZvhxJnSdABMepHdSJEEWk54PdZLaaQ43v2nMw/sqLYtRf1vKLW+txuFoWVPzmv3HGP23pcxaspsq59B+X06fCGj5B4go2csq8zAGdAzcEaUuVVAi8jLwS+BeQICrgC4u7GfFqJzerXfGlS0i7Z2PtwdyGtpXKfWqUmqEUmpEQoJv1icpN4VhrvJtwtj03BIuM68g+vCy4/1P9V3wT/jNyrrHrhnZmeKKGhZuOXLqtq2QlllIbFgQSRueh4OreMi2gFV787yabuibrVl0jLbRv0Nkg49bzSZGdY1tk/Ohaiv83mXrIKoz9L4AznuYoOj2DO4UxTqdUeIEMyb3Yv8z0xiaHA3Adw+cw5hucXy7I5dfvvoTe3Jc/1wWllfzl0+3cNXLPxEaZOHNm0dyv3Npk02PTmH/M9PO+KVOlKOGhebzKO58HmZT4K6U4OoovrFKqV8D+Uqpx4ExQJP/YTHWh5gNbFdKPVfvoc+AG53XbwQWuBey91SYw7FU+7aC2ptdyFBTOqbksxreICwezFZwGBXFqK6xdIsPY+5qzyaQfSptIuvtVyJr3wDlYPSx+Wzhakx/a/jsprVKK2v4Yc9RpvRv1+RSIqk94tmbW8qRQt+noGqNtMwirCZFVNYq6Ha28QOjqhQO/syw5Bi2ZhZRUe3Zs+C2rqLaXlexd40P473bz+KfVw5iV3YJFz7/I7OW7KKypvHXTCnFV1uOMPm5Zby/+iC3jevKohkTOLd3Yt38wY1enOzelhwkibtLb6NnvyH+DqVJrlZQtY3BZSLSAajGyCzRlFTgBuA8EdnovFwIPANMFpHdwCTn7YBQZQ4nyO79gQH1ObLTsFFhjOBrzIGf4PlBcHQPIsIvR3Zm7YF8/jrfM0OVK6rtnF31PLtixtfdpyw2Pq1JZc6ozzxSxsmW7cqlqsZRlz2iMbX9YW2tmW9LZiFTY3OQigLoeo5x50//hTemclZ7ocruYOvhtp9r0JO2Hi6k2q64aJDx1SIiXD2iM0vuP5vzByQxa8lupr3wI2v2H58bV9tUd6SwnDveWcdv3l1PfHgw8+9O5eGL+hEWbOQiGNzZaMbSfX9ATSVpG1YBirHd4/0dTZNcraA+F5Fo4FlgPbAfeK+pHZRSPyqlRCk1SCk1xHn5UimVp5SaqJTqqZSapJQKmJmY1dYIbD6soGrsDtoVOiuZzk1UULFdoegwrDcGP14xvBNWs/DOKs+cRe3KLuaII5oEjn9hSk0F1tBIFntppY9FW7OICbUyopn5F73bRRAXFsTKNjTcXClFWmYhI2OKISTK6H8C6DIWUAwX40t1/YECv8UYiGr75R69uP8J9ydEBPPCtUN58+aRlFfZuerln/jzp1soLK/m+aW7efun/Ux+bjk/7M7lTxf0YcE9qQzqFH3CMSJCrPRJitDJegH2/8i0Hy/nkvDtdE/wdd4c9zRbQYmICWPeUoFS6mOMvqc+SimXBkm0JWsSr+Jxy30+K+9QfjlBjnIKw7tDdBOJGiOSjD6Mje9BTRXx4cFM7meMfGuqycNVW5zNKhFVuWCLhUtehBG30CO0jLUH8j3eFFVV42Dpjhwm9W2Hxdz0W9BkEsZ0j2NFum/mZXlCVlEFeaVV0PcX8Id9x+c8dRwO5iCiclaTHBuqB0qcZP2BApJjQ0mICG7w8XN7J7JoxgRuG9eVuasPMvm5ZQA8smArQzpH883vJnDn2d2xNvKeGt4lho0HC7C3cNDF6ULtXkwlVmw9xgf8St3NVlBKKQfwn3q3K5VSp2XbRGlsP76t7Ouz8tJzSnjVfjHpVy9teIBEfcNuhLKjfPHhbFIeWsiXW7IA6P3w160elZSWWURkiAXzA9th+iZj/tVFz3Hk/NepqnF4/It01d48iitqmm3eq5XaI57sIt/My/KENOcKugM6RoKp3gRIawh0HAEHVjK8SwzrDua3mUrX25RSrDuYz/BmzqjDgi2EBVtwKMgprqy7/8c9R5tdkmZ4lxiKK2vY7caAi9NR1Y5vWGXvy6ievp3z2RKuNvEtFZErJNCr21bqJHmMq/mJ6opSn5RX+4XbPSG8+Y17TITITlxUs5j9z0xjx5PnA3DbuK6tHpW09XAhAztEGL+mQiKh7Bh89RCjLTuxmMTj2RwWbcsiNMjMuJ6utX+ndm9b/VBpmYWMNm1n6GdTIXvbiQ+mpMLhjYzqYCW3uJKM/LY1+MNbMvLLyS2uZJhzFF9Takf87f2bkQ50/zPTXPoM1A6UOKPPXI/tI7hwL987Btf17wYyVyuoO4EPgUoRKRKRYhEpam6ntqZX+XpeCZpF8dEMn5QXvOcrvg35A1HlLpRnMsOUJ2H0bwDqUpO0dq5SVY2DHUeKmJl/D/w4y7jTaoON72JLm8uQztEeraAcDsWirdmc3SvB5fQqyXGhdI61tZm0R2mZhVwUvhPTsXSIOulX6tDr4bbFDOpqDATQfSKG2tfBnZxwJjeHR3eJCyUuLOjM7vvbs8T4Ez2WpKjAWt69Ia5O1I1QSpmUUkFKqUjn7YYnr7Rh1tBoAEoKffOlEZW3ns5kQ0RzAyKdBlwOPY+vejm2exzbjxSRV1LZxE5N251TTH/HLhLL0yHMOd/MajMmCG//nAndItiSWUhhuWeyqG/MKCCnuNLl5r1aqd3jWbU3r030H6QdLiTVvNXIpxhy0sckJgU6Dqd3+2hCg8xn9q/5etYdyCc0yEzvdhFu7Td9Yk+XtxURhnWJOaN/FFT1v4q7HH8kpecgf4fiElcn6k5o6OLt4Hytdk0oy2e/heJsr5allCKlLI0job2NvglXFRyEZf8Eew0PTu0NwE+tSAWUllnIJeaVOMzB0Pei4w8MuAIqC7kgOA2HB9MNLdqajcUknNvbveUmxvaIp6iixit5CD0pp7iC0qJ8ulTsgG7nNLzRvh+wrH6ZIZ2jffplGcjZE9YfzGdI52gsZTnw5gUuf/7cbdoelhzDvqOlHCttm/kdW2tTroOvq9pG8x643sT3YL3LX4HPgce8FJPf2JxLbiRVpMOyf3i1rKOFJfRTeymKH+rejoc3wndPw54lDOwYRUSwpVVNX9syjnGxeRXSc4oxJLpW17MhLIHu2V9hs5o9MsxbKcWirVmM6R5HVKh7q3eOdS4D/2OAN/NtzSziLNN2TMpuvIYN2f0NLHmUUZ1D2X6kmLKqGp/EFqjJUksra9h+pNgYILHsn3Bwldc+f7WDMM7I+VAZ66j87lkipYwx3eL8HY1LXG3iu7jeZTIwADi9/sNPJdJ7gXEGYRJg7Wx4LMprC8tl71xNsFQ3nkGiMb0vgLBEWP82FrOJ0d3jWjV4QO3/kXgpRAZddeIDZgsMuxFTWDyjusZ6pGLYk1PC3qOljebea0p8eDB9kiJYGeBpj7ZkFnJMRVI94OrG57Z1SQV7FRNCD2J3KDYd8u5ZYVWNg1lLAvfsaVNGAVutv+b3K0cZnzvl8Nrnb1CnKCwmOTNTTW35kFEHXqdXh1i3fyD6i6tnUCfLAHw3HtsHXh06n89qRlOtjI77chXEQUcCK9vfaDSrediBIjuf2McR23d88xvXZ7bCkOtg19dQnEVq9zgOHivj0LEyt2OosTtYmRfGiqQboOeUUzeY+Fe46DlSe8SRnltKVmHrskvXrv00uW/LEtin9ohn7X7Pz8vypLTMQgrjhmC98jWwNDyfh+TRgNC3ypik7c1mvpmLd9Hr4a+YtcQ4ewrEZKkbDhYwvnIWVX0uBXF+JVlsMPAqjy/sGGI1079D5Bl5BuXYtYifHH0Z0SMwV89tiKt9UC+KyAvOy7+BHzAySpw27pg2lkvO6odFHFQoKyFSTXJoDWMPvQqzBsLL443mh/z9xg7FWW61lZ9sbUVHHpZ7SWzfbM7dUw37NSg7vD6ZCR2MHH0tObNIzy1lT00iOWc9ZAyMaIhSnJNY0uIy6vtmaxZDOkc3PXqoidc1tUcclTWOgP5y2ZeZxdkJxadmpq/PFgPt+mM7/DPdE8K8OlDizrO7ER8ezMgUo2lLBDpEhTCoU+BksF53IJ+oxM4EHd1mnD2ZrFBTAXuXgd1DfUX13lfDusSwKaOAai8mQvYVl39oHFyFKT+d1fbejGsj/U/g+hnUWmCd8/IT8Eel1PVei8pfSnOoGXYzl1U9waLQaaiUVLh3PUx+EiwhRt9Pxlpj2yWPGTnyWtJWrhSFR9LpFh/q9lBZAOK6Q2RHKDxI163/JjEimB9b0MyXsXUF40xbGJDUxDyslS/Sc965dA8tb1VT4uGCcjZnFDY/eq+JPohRXeOMeVkB2sx3rLSKvsUreXTf9ZDVzC//LmOh4ADDk42BEt6asPvmiv0cLankoQv6APDRXWMID7Fw65y13P3eenKK/btwolKK9QfzuSv8Rzi6C5IGwx3fQZ+LoPyYUankpbe+oCWP1b2vhiXHUFHtYPuRtj1TxuFQPL90t2vLkSx+FIDe5kxGpATm8u4NEVc/GCKSAKCU8v7iTCcZMWKEWrt2rc/Ku/GNn1m26yjv3DqK8T3rLfVRnAWzBoG9gWHdlmB4uMGVQ05VcAhmDeCDdjO4+jePuRfcU4lQc2r5lVgJejTXrdQlW2ddSrv89cT8NR2zpZE26ext8NIY5iXcx8zCc/jpT+e1KD3KnJX7efSzrSz9/dkNT0xu5Hmd/Lpe8dJKahyKBXenuh2Dty3flcuRt2/j8tANWB/ad2IWiZNVl4MlhHlrD/HHj7c0/rq0QmFZNeP/+S0jU2KZfdNIZi7exYzJvaiqcfDKsnRe/HYPIVYTf76wL1eP6NyyH0utlJ5bwv3PzeYT25OYU8bB9R8ff90Ob4R3LjMW7fz1Akjs434BjbyvKpSVuVPWcFNq19Y9AT96bvEuXli6m3aRwUzpl8TU/kmc1S32xFRPLn6u/E1E1imlRpx8f5NnUGJ4TESOAjuBXSKS6+pihW3Vq78eQcdoG89+s/PEX7YRSfC7zTDgKuOMCow2czfbyiv3rwLA0X6Y+8FNry3f2SRnDuZQ0hTGVTzPzmw3UrhUFNGjYAWrQyc0XjkBtOsHif05t+YHsooq2Hu0ZVk2XvthLz0Swxv+Es7eBgl9IGnQ8ecFEBoP1396wqapPeLZklHgsXlZnrQlo4BUcxqkjG+6cgKjSVWkLruBN5otX1meTlFFDb+f0huKs5iRMR2KswmymLh3Yk+++t14+raP5KFPtnDNa6vqMpu40z/V2r6sdQfyOdu0GUdYO7hi9omvW4chcPOXxvU3L4Dcne4XMH0zdBiKsYwdRmU38CquCH6ZdQcLWhU7+Gfofu3iji84R2VmF1XyzqoDXD/7Z0Y8tYT7523km61ZxqKm96yHAVehnJ+ralOwV/r2vKW5Jr4ZGMtmjFRKxSqlYoCzgFQRmeH16Pwk2GLmd5N6sjmjkG+2Zp34YEQSBEcYbeMmi9FmXlV6PCGoC4p3r6BMBRPVdYj7wdWVXwnmYLBXklS1n1yi3WqCc2z/gmCqONz5ouY3HngFifkb6CS5LRpunl9aRUZ++alLu1dXwNIn4ZXxUJhhJKq1VzoHFwhUFsE7l8L3z9T9CkztHodDwc8BuAx8zoHtdJKjWHuc49oOS5+gx+q/Ehli8fhAiZziCt5csZ9LBnegX4fIBptOuyeE8/7to/nHFQPZcaSIC2b9wAtLd7s1HL21Q9c3HMznLevVmO/60VhB+mSJfY1KqudkY+FHV5Tnw2f3wob/GZ+X9kOcuS7F+Nyag0np0s0jPwr8MXR/+sSejOgSQ7RzJN7+Z6ax/YnzeeWG4Uzsm8jSHTnc+c46rnnyNbL/M4XMo/lQU0GFsmJxVEFwpFvfV/5kaebxG4DJSqm6byWl1F4RuR5YBMz0ZnD+dNnQjry8LJ3/W7SLyf2STlx1sjQHht9sjKabczEc/MnoFHex6cucuYbNqhvdk1rYFlxb/oib4dO7sGancXHMAVbsSeTWca41WZSvn8cxRwJRPcc2v/GAK2DpE1wXtpYVewZyw5gUt8L9wrn67wn9T4fWwPy7IG8PDL4WpjwNn993/HmtfdNoCg2JhO//Dgm9of9lDE2OMeZlpee1aLi6N4UfXmFc6XauazuU5iLbFjA8+RqPD5T4z7d7qLI7mLVnKjxWr4ln7Wzj4mziMZmEX45M5tw+iTzx+Taec54RTJ253KPxNGjFCxTuDWdYlwGYwpr4LMR1h8tfNa5XFELODmhoeoZSsPUT+OohKMs7vkJAaa7xvkpJhY9ug9ztDOsbw8ItR8gqrGhxyp9lu4zejq2HC+nfwXeDTt5fc5C1B/J59spBPPjRZgBsQWam9jea+artDrat+ZZei5+iqDqI9MxslqqJvG+fyMKxe5AS7yYh8KTmKihr/cqpllIq17mc+2nLYjbxwJTe/Obd9Xy6IZMrh9fLqXbNu8evT3nK+KVWng+hsc0fuKqMyMLtrHdM49a40JYFV7/8WxfBf0bz14pXmLK3M9V2R6PLDdSprkByd/CZYwwTO0c3X15MClz/CZnrw1i57Sh2h3JpmeiZi3fx/NLdJJDPvKAXufXf95FLNNMn9mRGb4dx9nnDp9D9vFOf10X1FmE+607oNBKAoEM/cnaXIGNeVnEWfHQzXPmW338RFpZV827xUAYOf5bz47q7tlOXVFj/NpPij/HwbkVheTVRttZ/rA4dK+O91QeNfqUhH8G7Vx7vN7XYjIwhU54+YZ93Vx3ki81H6m7XNhd3TwijZ+KJ6Yd25xSTnnu8qTfloYWA8cve5cwOWz+FxX9lZM1Uioe6MdXim7/A5g/g6reNJsDa/7+9Chb+3pgE3X4IXP8RtB9s7FP/fdVlHES0Y7hzZd31B/O5cKCLqcacat/Xtaa98CMAd5/TnQfPb0E/mRtyiip45qsdjOkWx5XDOzWYbNh6cAWDv70RIhN4t+tMnlp5fApKtxXGqOHpcbvaxLL3zVVQTY3xPO1zhZw/IImBHaOYuXgXFw9uT7ClgX6F4TfBiFtcPntCTLzZ7mHWFMby24aO566gMJj2LxLfu4ob7PPZnJHK8C7NVJTWEGb2/4iPft7Dna52zPeYyKiSTN5dn8fWw4WnLAjXkFvGdeWzTYf5bekcRjp2sqbfh9D5LDh3mrHB3WuMCcHNqZ3wWlkM867nXw4rvy+5nrLFHxNa22xVv0Lzg62HCykggtDBE11/L3Qxzl5Hm3egVG82Hirg7F4JzezUvFlLdiMi/L5/CXz4a6Nfxy7GWZO9ssEmnhmTe9V9YaU8tJD9z0xrtpzd2cVMnrmcP1/YhzsmuFgpg3EGNP9uCuOH8reMX/GWGwlimfwEZKfBvF8ZfX21//9eU2H/DzD1bzDqzsbfV87n3b86jXCLnfUH3K+gZkzuxQUDkzh/1g8AXDOyM3PXHOLzzUcY3T3uxIFVHvb4F9uorHHw9GUDEJFTK5nDG4wfJDEpcMN8botsz22XGA+5+n8NJM31QQ12Zi8/+VIMDPRFgP4kIjw4tTeZBeXMXX2o4Y1MZuMLqfSoMeqoOdYQPiwfgTmpf/PbuqrXFCoH/opCwl3rh1KKzYdLSG6f2OyCgfWdd2we15sXu1SGw6Gw/bMD35X8gqvUN5hEwd7vYNkzx7MDuFI51RccAb9eQGhVHi8HzSJ08xyvZh1wx4HdW7jVvJCBsW5MIo5OhqjOJBdvxCSeGSixO7uYTzdkcMtZScR/cbPxmiWPNn5E3bYEel8E+5a1uhyAns7ErnPXHHJ9mHxFoVG5BIUxL+Up7GJhsCtn8bVCY41BNY4a4/1U+/9/72pw2GHM3c2/r7K3Yn17Gn+N/qbFGSXmrj5EkPOz88wVg3j/9tFYTMINs1dz/7yNXsn19+2ObBZuPsK95/agW2M/LNsNMFocbloIke5VvIGoyW8npZTZmb385EuEUuq0buKrNb5nPGd1jeXFb/c0nTNt7nXw0S1gb3p0mX37QoKObvP4kOLgK/7L+qQrm8/Ll38ANbM/EYdXMLCjewnpIzJ/5J6ghazc0/xMg/98t4fU8pkcTDibuhFUJmvrRxB1GIqavoXtpFD3lWgJ8fvIpJC9X/NX67vEBLk5n2nQ1Vjju9M7KdIjAyX+tWgXoUEW7jivP1z5Btz8tdGMetFzkDQQEnoZ/X7r5jR6DHcyhE/um8je3FJW7zvm2g6rXjImu189h+VZVnonRRIe7OYPld9thv6XnZp14ncu/v/b9YcBV3BF6TzKMre5nZmkotrOJ+szmDogqe61GtM9ji+nj+fe83rw2abDTPzX93yyPsNj89tKK2v46/yt9EwM586zGzhb3fYZlOQYmWYmPwFhp07Gdef/GihamurojCEi/OH83hwtqeTNFfsb3zD1d3As3ViWvTFKwYJ7uNG00OMVFEBqtzg6HfqMyg0fNL5R2sdIUSY7quIY4G7H7sArSVI5VO3/uckP9Xc7c3huyS7OHtKbzoXrAGUM71V2j4wgMsV0JjdyIArBjtnof/DUyKTiLDKeO8ftDCEdjq3msDXZ/V+tEx+BSY8yvEs0G1q5HPmmQwXYt3/BCz3WEhsWZDQhRp2U1ubcPxuDOL58ADLWNXgcd/omnr92KBHBFuauaaSFoVZtJoehN8CNn2PvPIaNhwoY3iXa5bLqRCRBiLNZsIlmyyad/wzKYuNx82y2Zha4VfxXaUcoqqjh1/2D64bug5FG6fdTerPwvvF0jQ/j/g828es3VnMwz+gDas2Q9JmLd5FZUM7fLx9IkMX5tV37mv4wEz64odmkAW2hz+lkuoJywfAusUzsk8gry9IpLGvkDKn3BUZH/rJ/GMOnG3JsL+aKY6xz9KR7ohcqqB5x/NK0FNNXD0BJI2c5aR9zLHYIGSqRAR3drKD6XITdFMT5rGj01/7BvDKmv7+BPkmRPHn5MCSxn/Fr9/ZvjZFUHhpBlBJSxv9qJnJR5VPGcY/ugpztrT/wsn/SoXCjWxlCiktLGVizldz40S0r0+FgVHsLJa1cjvzHT1/mpaBZnF3+LdgbOds3mY0zq/Ak40utsfeJi0KDLPxiaAe+3HKk8c8GGAMYDvwEP/wLuoxlV3YxJZU1dfPA3FY7kvW2pS17X4UnUnHOo4w2badk1Vtu7fr+6kN0iQtlxIHXGsx60jspgo/uGsuTv+jPhoMFTJm1jFeWpbd4SHpaZiFvrNjHdWclMyKlXv/ysn8ar+nSx6DX+acMfDkd6ArKRb+f0puiihpeWd5I2hUR49dwUabRJt6QQ6sBWOfoRfeEMI/HOLJrPI/a78BUXQrf/PnUDXK2Q3YaayMmEmQ20cvNxeEIicTR83wuNv/ET7tP/UIor7Jz5//WMYg9vDPqILYgM9y2GK56y2heuui5E0dUtYLj6nd4pOYWtqsuzAq+g4qio6g3LzQ6id1kdygcTyYa/VhrZxv9ZW70ax3cvJxQqcTk6vynk700hvP2Pgu0fDnyPV//h9/kPUNO9FDMN85vuh8mNBZ++Y4xFPvnl1tUXn3XjEymssbB/I2ZJz5Qng9PxBuv444vgOOva8/XjGaq4e4MkDih0HePN1u28H0VMeYWVppGsD/v1JFwjUnPLeHtwxezrPRSZN0bjfaBmkzCDWNSWHL/2UzomcDfv9oBwOaMArdirLE7eOiTzcSFB/PH2hGCTx1/r1Lb0L3ra/hHslvHbgt0BeWifh0iuWRwB95csb/x/GVdJxjNJ0cb+aV06GcqTGHkh3YlOjTI4zHagsxEJvdnXshVsOUD2LP0xA22fARi4tOqkfROijjeVOAG69BrORDciy179p1wv1KKP32ymajsVbxleZr4tc9BjXcGes5cvItz/u/7utuzlqYz5cgdHC43UzF7Gjt+XnRKfrKTm1cqqu18uyObP3y0iXFPLeS1ikl8WTOKcmfXqkPBIvtwXhk6v9l4jh1Io1JZaT9ocrPbNiihD2FZPxMXFuReBeVs4lHf/4Meq/7Mz6YhxN6xwBgY0ZwOQ+CWb4wmv5Zylj8gsoIBHSN5f/XB430u3/wFnu0Bjmqjj6g2Q4Szv+jJHnOJDw8iObaFUy08wWTiw17/x78LRrvcVzRvzSGuqH4SJSf9AOh2XoN9oO+vPliXxR/gkn+vIOWhhfzz6x0ulffWyv2kZRbx6MX9jk9BmL4Z+l9OXd+ulzK/BwJdQblhxuReVNkd/OfbPY1vdN08uHhWw49lrmWHpTfdEt0bnOCO1B7xPF4wFXtMd/hixol5uLqfhzrvEVZmmRng5gCJOn0u5Lvh/+WHwyaKKo436cxZuZ+CzV/yv5BnscR0hhu/AIvnK2Ew/g/7n5lWN2R2zV8mcdelk/i/DrM4XBNJ8pfXc+/Tz/HnT7ewbFcuVTUOnl+6m+KKaj7bdJi731vP8CcXc8tba8nbsoQF5j9wp3UhU7pZsJnsVCoLApxrTePOkc3PbftEJjM5aA7xCS0cRdglFSnMYFKHKja4k37HmR2iYMvXfGUfyYHJrxMS6sZZcYchRsVRdBjSv3M36uPZKb75C0/ELeGJYw+wZa+zL6pdfxhzj9EEN/gao//VElLXX7Qs08TQ5JgW5XX0pGEpseQWV3BsxVvNvgZVhTl8vC6DTn1HIp2GA2JkcwHI39dgH9jJ79XrRxtnOQs2Hua7nU3nwsvIL+O5xbs4r08i0wa2NwaXzL/b+AESEm202tR7Tf09F9AbdAXlhq7xYVw9ojPvrT7Y+PpLtWsA5e6EshNHNqmbvuRPVbd6pf+pVmqPOCpVEKsHPQFTnz5xTaKUVDL630lheXWrZr6n9ogn3pHH6t1GGqg1+4+x+ss5vB70HObE3nDTlz4d4poQEcx1ZyUz846LSLhvKdVRXbgt5Dvmb8jkxjdWM/ypxQAMf3IJ972/gZ/35nHNgDB+6vsxs+UJEsONZKSW0FgYfjOXVj3JuohzsdvtVM++oNnpA1syC+nVqRVD3J3zoaaE72Hf0VLyShpI7llf/SYe5SAmbz0XmNfwy29dyArSkC8fhLm/MuYnueKk8kn7kGG7ZjFCdrFklbOJdch1MPlx6DTieCaH25bA8JupLDjC/ryyljfvedCw5GiCqCFo1fPw+XSoauBzXV0OSx7H/PwAksp2cc2oZAhLMIbu374UBv/KSMkExlD3Jjx16UA+umsMtiAzN7+5hnvf30Bu8an/b6UUjyzYilLwxMW9kZUvwn9Gw7b5cGRzvT64JR7t2w00XqugROQNEckRkbR698WKyGIR2e386/93qJvum9gDEalbAK5BxdnwUir8eOLk0WM1wWyviPHKCL5agzpFEx5s4YuCLtD3YuNOhwN2fg3Z20jLNFZvHejuAIl6hlv38lPwveSt/4zsogp+++56RoUegY5DkRs/bzinmpecPHQ2Iq4jUXd9w9DffcjNqSmYsVNcYQwYqHKu/3PdqGT+GjSX9gcWwLj74bc/Qbdz6vo1ppw3ib73fsSdEf/maKWJgl0/Nlp+xY7FPFXwR0bHur9gZJ3EfhASxcCarQDNn0XduxFijw81LldBHOp0EdLSJp4L/8+Y8D3vV8Y8pYY47HBgpbGMyPTN0HPq8cdMVug9jad6f8LrO4MpqTxpgMZJ/UXLh80CaPkACQ/q3S4Ca1AIHyb9HgoOGPP06tu7DF4aCz8+x4qQs7FHdGRCz4QTn9Nl/4Vr3zf63F6fZGTJaEDte3VESiwL7xvHjEm9+CYti0nPLeODk+aSfbkli2935PC30TV0+nAaLP4rdD8X7v4ZuozxSB9cW+DNM6i3gPNPuu8hYKlSqiew1Hm7TWkfZePGMV34dEMGf53fyBdCRDsYeCWsfs1oPgHY/AHli54EFD28eAZlNZs4q2ssK9Odk2l/fgVmT4V518OSR0k7XIjFJPROcnOARD1BHYdSZI6my8GPyZ45AVvlUcbc8iyWm74AW7RnnoiLGhw6GxoLVhsPTkgivdtz7L9kH/OCnmD/PUns/2N/7p/SG877C9yxDCY9espijTMm9yIs2MIjN17MZer/+HXaEGNYfdWpmdwLNn/FUNlDty4pLX8SJhNM/RtRZ12PxSS8vKyJ9Y8cdvjuKTiWjgIqsBIs1XRql9jyJp7I9nD1HKMJ6cOb4Q3ngpE1lbB7MXx2H/yrtzGkeeW/jWHekR0BZxOTskNEEtNSh1JWZefzTYebLG79wXwsJgmIRRMtZhNDkqP5JD8Fhl5vPL/074zn+skd8PYloBQ5l33Ijfk3MXVkv8bTfInJaLH46BbYcGqFUf+9GmwxM31ST76cPp7e7SL4w8ebufa1Vew7WkpR7iESP76Mce3t/CL3ZePs6Oq34Zr3IKrTKcc9nXmtglJKLQdOnr33C6B2huAc4FJvle9NvzmnBzarmXdWNbEU/DkPGV8my/5p3N48j7B9XwPilRF89Y3tEc++o6VkFpQbq7dmrjY6qx01bMksome7CEKsrUizZLZwsP1URtWsY6BjJ+8lf07v9pFgbVnSTa8xBxkZ0hf9hVGyA2ZPhq/+aDwW2QGSBjS5e/eEcJ64egybMwp5Ze7HqFmDjDPReoIO/sBaRy/6dWll+//Q6wnuMYH+HaNYeyCf1fuOnXJZsyeLvLdvgI3vUhbVnc1JV3BZ5RMc7n4tUtrKtX26jDWGKacvNZIfL/sHvD7RSJuT9rGRVujKN+BCY7QhpTnHs1M4m5iGJUfTq114s3Oi1h3Ip3/HqNa9Bz1oWHIM248UU3r2Y8bn5ZPbjL61o3vqzrDfyTZy2F09somM6iFRxnpWXc+GBb81fqA2o0diOHPvGM3fLx/I1sNFnD/re3a+ehPD2cHzSd9guvQluHs19PuF6ym0TiNuTuFutXZKqdqMlFlAm+zViw0L4vYJ3Zi1ZDffbM1qeJXYmBQjT9+6N2HsvXBoDXsjzsFmNdMhqpHl1T0ktYfRxJb0QjI46o2kS/+Wt/mWagkCWjH/5alEBtVU1g0i6pTxhdEnEWCLoPHPlLpBIiIYv/R3fW30obgY55T+Sdxzbg/e/G4D1ycmEjfvV3D5azDgcijJJbZkFxut1zE2Mrj5gzXFYYdDPzMtqZBNh+DqV346ZZNbzV/yV+tCnqr+Fa9nH8+p1vH637T+y+uEhe3U8akSJis8mH7qj48GEvsKxpDzJ77YxvYjRfRtf+pAnGq7g80ZBVw7KnCGRA/rEoPdobC92P/ExUgPr4PD61Cr/sMHpvc4u1cCHaOb+ewGhcG1c40ktl8+YGR2GH5Tk7uYHNVcG7uba+RaxGKHakAgbvv/YPv/Au9z5UN+GyShjAbXRsd2isgdIrJWRNbm5vp8Ed9G1S4WVtsHdec760h5aGHDs8QnPGCMuFn9GlQWsq2mA90Swry+cmnvdhHEhwfxeLf3T1jc0GGx8WlNKp+e/VWrjv/q0PnMrxlLhXNIdrkK4tOaVJeGZPvUyYs7tnA47ozJvRjUqxuT8x6gJGEofHyrkcF+2wIAKuL6tXo02vOLd1L6xqUEbXjzhPsvH9qRd287i3dvO4uJNz7M1nNnc2zQHSds0/VPXzb+HnRVY6/VjK1unRlfNrQjQWYTc1c33Lqw/UgRFdWOgBggUWtYZyOWOSMXNPga/HDBt2QXVXLNSBcrVWuI0SQ35h7oMcm4rzbrQ22GEofRH4pS8O/h8L/LqcZKpiOWKmWcNwTs58qHfH0GlS0i7ZVSR0SkPdDozwKl1KvAq2As+e6rAJtzctbn2LAg4pxnVKeISIIZ24xmEqBd0Ra69/yl12MUEcZ2j+ervXk8PigcsVeCJQSpqaAEG/26upF5ugF3TBsLjj6wfhUVDis2Uw2XjewD01o4isxb6i/u2IrhuGaT8MI1Q7j43yVcdGwGi5JfIWjB3TgS+yMKJpoaThnkjulT+0H2WG4qPcxjBziedbq8wGiWnPwERLSHXlfyHPDcL4cAHsxQ7aHXKiYsiPMHJPHphkz+dGHfU5rxaud5BcIAiVpRoVZ6JIbzQ5aFm+NOfQ3eTisnPjyYiX3dGKlpthqjaME4O/7kdiPrw8e3QXC4sdbZXT8YZ77jfw/h7Qjqdg4dv/4zrH8rsD9XPuTrM6jPgBud128EFvi4fI/797VDSc8t4Q8fbTp1st9TifC39nDAWMhuiuNHXth5jk+ybqf2iCO3uJKSY0fqhqNuSrqCBCmkXwNNL25zDnO9rOqJwB7m6qHhuNGhQbz0q+EcKTcZo9kAU85WRGBI9qeeyabeJRWytxJFiTP2o8aCmGkfG6PnvM1Dr9U1ozpTVFHDl1uOnPLYugP5tI8KoUNzTWU+Njw5hvUH81EnvQYV+Uf4dkcOVw7v1Pw6aw15KhGeiIV9ywEF+5fDzi8hZ5uRQxKMJsDeFxiDddrK58pHvHYGJSLvA+cA8SKSATwKPAN8ICK3AgeAq71Vvi9Mn9iTsT3i+eP5ffj7Vzt4dfneEzMNT98M3zxspHmpKadcBZGXPJVOV//L67GN7W5kM/6oxzPcnGqssvtCyF1kxJZxfpAHOqedfRBTgnfB5N+2/nje0tgiiC0woGMUf798IKkfzOLNDgvoU7Aci6MCh8WGqYFFAN3WZSygWBrzDBzpa/zqzt9vDGHuOanBXTyaodpDr9WYbnGkxIUyd/UhLh924qizDQcLGBZAzXu1hnWJZt7aQ+yd+MrxaSAXPcfr3+7GsXUX1zQ1OKIp0zcbWTW2LTAGKpmDod8lxnvF0kC/ZVv5XPmIN0fxXauUaq+UsiqlOimlZiul8pRSE5VSPZVSk5RSLuboD0y1TX13TOjGhQOT+MfXO1hZf7mLes0mdlMwwVQTFhHtkxnfnWNDSY4NPWHtprTMQvczmDejLWZIbo3Lh3XiwjFD2Jhjx+SopEJZjSZUT8zk7zgcMBFfvhfevBAKM+BXH0HPxlMoBeLrL2IsI796/zHSc0vq7s8qrCCzoDygmvdq1faJ1U815XAo5q09ZFS48S0ceRuRZLw3lN1oNnRUu/ReCcT/qz/oTBIeICL888rBdEsI5573NxjDu2s5T9nfG/QG79onEmlv/Zo/rkrtEc/Pe/OosTvIKaogp7jS/Qzm2in+Mq0fPcLK+V/NRC6regLxRFPMU4nwdDvA2XleVQxVJfDuFa2O1x+uHN4Ji0mYV2/IeW0G/EAaIFGrW3w4UTYrG+pl6V+RfpRDx8q5ZlQLz55qnSFZH7xBV1AeEh5s4ZUbhlNV4+A3/1t3fL0k54zvVWUdeD3qHszX+m7Gd2qPOIora9iSWUjaYSNDgK6gWu8/3+3hmsJ76rKpp/w4kZSN13lnFF0bTQCaEBHMpL7t+HhdBlU1RqW77kA+wRaTZ/pAPcxkEoYmR59wBjV39SGiQ60NTyNxxxmS9cEbdAXlQd0TwvnX1YPZnFHIY59tPeGx9JwSr6Y4asiYbsZ8qBV7jpKWWYSIkZVda53aBKB7/3YhQF0y0FY1y3hoFF0g+eWozuSVVrHYmc173YF8BnWKalEWfV8YnhzDruwSCsurySupZNG2LC4f2ilgJhSfiQLzndKGTe2fxN3ndmfumkO875wLYnco9h0t9XoGiZPFhQfTt30kK/bksSWzkK7xYe4vr601yuPz2U6zpqAJPY2JrXPXHKSi2s7Ww4UBOUCiVm3T48ZDBXy8PoNqu2p9857WKvrbygvun9ybzRmFPLpgK33bRxIbGkRljcOrOfgak9o9jrd/OkCkzcrY7r5L4nqmCMRRdIHCbBKuGtGJWUt281XaEartKiAHSNQa3Dkak8C6/cf4YssRZ+qmlues1FpPn0F5gTGxcyiJkcH85n/r+HmfMZLO1018AKk946myOzhaUtmqDOZaw/Roq6ZdPaIzJoGnFxpLeQRyBRUWbKFPUiTvrT7E3txSY1kNza90BeUlMWFBvHz9cI6VVvHwfGPFEX9UUKNSYrE4m6L6t3SRQk1roQ7RNs7ulcBR5xpXCRGtzFnoZcO7xNTFetEg361ppjVMV1BeNKBjFE9fNpBK5yimmDDvrDDblLBgC0OTowFatUihprVUWzoTGdYluu56aJDuAfE3OSU9TwAaMWKEWrt2rb/DcNvMxbt4fumpCxtOn9jTJ01D/i5f09rSe7AtxXq6EZF1SqkRp9yvKyjf8FhSzzZavqa1pfdgW4r1dNBYBaWb+DRN07SApCsoH/HocOQ2WL6mtaX3YFuK9XSmm/g0TdM0v9JNfJqmaVqboisoTdM0LSDpCkrTNE0LSLqC0jRN0wKSrqA0TdO0gKQrKE3TNC0gtYlh5iKSCxxo5WHigaMe3tYbx2xL5buz7Zlevjvb6vL1/+p0LL8pXZRSCafcq5Q6Iy7AWk9v641jtqXy21Ks/i6/LcV6ppfflmJtS+W35KKb+DRN07SApCsoTdM0LSCdSRXUq17Y1hvHbEvlu7PtmV6+O9vq8v1bvjvb6vK9qE0MktA0TdPOPGfSGZSmaZrWhugKStM0TQtIZ0wFJSKvi0g/5/X9IhLfyuNFi8hvPROdd4iIEpF/1bv9gIg85sJ+K70Y02Mi8oC3jt9AeS16DbTA1hY+f4HC26+Vp79b6ztjKiil1G1KqW0ePGQ0EOgfkErgcnffMEqpsV6Kxx9a9BpoAS+aAPr8icGj36cePGY0XnytvPDdWue0rKBEJExEForIJhFJE5Ffisj3InLKglgn7TdfRNaJyFYRuaOZYp4BuovIRhF5tpnj3u+MI01EfudO3K2MtQZjlM2MZp7LyccuaebxFBFJq3e70bMSEfm1iGx2Pqd3XDjuDhF5V0S2i8hHIhLamvJx4zVwHne7iLzmfF0XiYitkW1d/Z8+Uf9xEXlaRKY3Ub6rr6tL27pTvpvP668islNEfhSR95s6K3bnc+XGtu58/twp/3oRWe087isiYm5i2xTna/A2kAZ0bm0Mbh7T1Vg99lq19Lu1xbw5C9hfF+AK4LV6t6OA74ERztv7gfgG9ot1/rVhvDnimigjBUhzIZbhwBYgDAgHtgJDXY27ieM2GytQAkQ6n28U8ADwmAsxlzTz+AnPvbHjAv2BXbWvNRALPAY80MRxFZDqvP1GQ9u6Wr67r4HzuDXAEOftD4DrW/k/TQHWO6+bgPTG3lduPi9X/wfulO/S8wJGAhuBECAC2N3Y/7QFnyuXtj35+TfzfnX1mH2BzwGr8/Z/gV838zlwAKM9GINLx3QnVk++VrTwu7Wll9PyDArjQzZZRP4hIuOVUoUu7nefiGwCVmH8cunpgVjGAZ8qpUqVUiXAJ8D4RrZ1J26XYlVKFQFvA/e1+Bm03HnAh0qpo85YjrmwzyGl1Arn9f9hvH6t4uZrsE8ptdF5fR3Gh/tkLv9PlVL7gTwRGQpMATYopfLcegKt4Gb5rj6vVGCBUqpCKVWM8UXZFHc+V974DLp6zIkYlfQaEdnovN2tmWMfUEqt8mAMrh6zJbG6ork4W/rd2iIWbx7cX5RSu0RkGHAh8JSILG1uHxE5B5gEjFFKlYnI9xi/EH2mobiVUk94INZZwHrgTQ+FWsOJzcOefJ1OnpjX0ES9lpQ/C9deg8p61+0YvyRb63XgJiAJ46ywMe48L3e2dbV8j3PnveqNz6CbxxRgjlLqT24UUerhGFw6Ji2LtekDuhBnS75bW+O0PIMSkQ5AmVLqf8CzwDAXdosC8p3/mD7A6Ga2L8Zo3mjOD8ClIhIqImHAZc77WhO3W7E6z1w+AG51IV5XZAOJIhInIsHARY1s9y1wlYjEAYhIrAvHThaRMc7r1wE/tqL8Oh5+DVz+nzp9CpyP0TT2TRPbufO83NnW1fJdfV4rgItFJEREwpsp2533qjvbuvr5c+eYS4ErRSQRjPeriHRxoQxPxuAqd2L12GvVwu/WFjstz6CAgcCzIuIAqoHfAP/XzD5fA3eJyHZgJ8YpbqOUUnkiskKMjuqvlFIPNrLdehF5C1jtvOt1pdQGN+JudaxO/wLucWE7aPis5fiDSlWLyBMYzykT2NHIdltF5GlgmYjYgQ0YbdRN2QncLSJvANuAl1pafgPceQ0a5eb/FKVUlYh8BxQopexNbOfy83JzW1fLd+l5KaXWiMhnwGaMinIL0FhTjzvvVZe3dfXz5+Yxt4nIw8AiMUbPVQN30/qlflryeW2SO7F6+LVqyXdri+lUR9oJnGc765VSnvjl6G7ZKcAXSqkBvi7bm5xfIOuBq5RSu0+H8kUkXClVIsYoy+XAHUqp9Z44tqbVOi2b+LSWcZ6+/4QXfxGdacSYwLgHWOqnyslb5b/q7JxfD3ysKyfNG/QZlKZpmhaQ9BmUpmmaFpB0BaVpmqYFJF1BaZqmaQFJV1Ca1kIiYhcjv1maiHzonD90Qo48TdNaTldQmtZy5UqpIc5h8VXAXf4OSNNOJ7qC0jTP+AHo4bxulgYyoovIEBFZJUZ2909FJMZ5//fO3GarRWSXiIx33m8WkWdFZI1znzud958jIstEZIGI7BWRZ0TkV879t4hId+d2CSLysXP/NSKS6vuXRdNaTldQmtZKImIBLsDIqABGgs3/KKX6AwUYGaDBSFj7R6XUIOe2j9Y7jEUpNQr4Xb37bwUKlVIjMdIU3S4iXZ2PDcY4Y+sL3AD0cu7/OnCvc5vngZnO/a9wPqZpbcbpmupI03zB5pysCsYZ1GygAw1kRBeRKCBaKbXMef8c4MN6x/qk/vbO61OAQSJypfN2FEblVwWsUUodARCRdGCRc5stwLnO65OAfiJSW0ZkbQaIlj5hTfMlXUFpWsuVK6WG1L/DWRm0JCN67T52jn8uBbhXKXVCglcxsk7XL8NR77aj3v4mjHWFKlwoX9MCjm7i0zQfcK6bk1/bv4TRLLesiV3AyDz+GxGxAohIL2eWcVct4nhzHyIyxI19Nc3v9BmUpvnOjcDLzgSre4Gbm9n+dZwr4opxapYLXOpGefcB/xGRzRif9eXokYZaG6Jz8WmapmkBSTfxaZqmaQFJV1CapmlaQNIVlKZpmhaQdAWlaZqmBSRdQWmapmkBSVdQmqZpWkDSFZSmaZoWkP4feoSgXjzhIQUAAAAASUVORK5CYII=\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "from ttslearn.util import lab2phonemes, find_lab, find_feats\n", "from ttslearn.dnntts.gen import predict_duration\n", "\n", "labels = hts.load(find_lab(\"downloads/jsut_ver1.1/\", test_utt))\n", "\n", "# フルコンテキストラベルから音素のみを抽出\n", "test_phonemes = lab2phonemes(labels)\n", "\n", "# 言語特徴量の抽出に使うための質問ファイル\n", "binary_dict, numeric_dict = hts.load_question_set(ttslearn.util.example_qst_file())\n", "\n", "# 音素継続長の予測\n", "durations_test = predict_duration(\n", " device, labels, duration_model, duration_config, duration_in_scaler, duration_out_scaler,\n", " binary_dict, numeric_dict)\n", "durations_test_target = np.load(find_feats(\"dump/jsut_sr16000/org\", test_utt, typ=\"out_duration\"))\n", "\n", "fig, ax = plt.subplots(1,1, figsize=(6,4))\n", "ax.plot(durations_test_target, \"-+\", label=\"Target\")\n", "ax.plot(durations_test, \"--*\", label=\"Predicted\")\n", "ax.set_xticks(np.arange(len(test_phonemes)))\n", "ax.set_xticklabels(test_phonemes)\n", "ax.set_xlabel(\"Phoneme\")\n", "ax.set_ylabel(\"Duration (the number of frames)\")\n", "ax.legend()\n", "\n", "plt.tight_layout()" ] }, { "cell_type": "markdown", "id": "frank-flight", "metadata": {}, "source": [ "### 対数基本周波数の予測" ] }, { "cell_type": "code", "execution_count": 57, "id": "saving-tennis", "metadata": { "execution": { "iopub.execute_input": "2021-08-21T07:45:14.680933Z", "iopub.status.busy": "2021-08-21T07:45:14.680654Z", "iopub.status.idle": "2021-08-21T07:45:14.740793Z", "shell.execute_reply": "2021-08-21T07:45:14.740403Z" } }, "outputs": [], "source": [ "from ttslearn.dnntts.gen import predict_acoustic\n", "\n", "labels = hts.load(find_lab(\"downloads/jsut_ver1.1/\", test_utt))\n", "# 対数基本周波数の予測\n", "out_feats = predict_acoustic(\n", " device, labels, logf0_model, logf0_config, logf0_in_scaler,\n", " logf0_out_scaler, binary_dict, numeric_dict)" ] }, { "cell_type": "code", "execution_count": 58, "id": "prospective-bridges", "metadata": { "execution": { "iopub.execute_input": "2021-08-21T07:45:14.743174Z", "iopub.status.busy": "2021-08-21T07:45:14.742897Z", "iopub.status.idle": "2021-08-21T07:45:14.744611Z", "shell.execute_reply": "2021-08-21T07:45:14.744262Z" } }, "outputs": [], "source": [ "from ttslearn.util import trim_silence\n", "from ttslearn.dnntts.multistream import split_streams\n", "\n", "# 結合された特徴量を分離\n", "out_feats = trim_silence(out_feats, labels)\n", "lf0_gen, vuv_gen = out_feats[:, 0], out_feats[:, 1]" ] }, { "cell_type": "code", "execution_count": 59, "id": "speaking-municipality", "metadata": { "execution": { "iopub.execute_input": "2021-08-21T07:45:14.746830Z", "iopub.status.busy": "2021-08-21T07:45:14.746489Z", "iopub.status.idle": "2021-08-21T07:45:14.798472Z", "shell.execute_reply": "2021-08-21T07:45:14.798098Z" } }, "outputs": [], "source": [ "from ttslearn.dnntts.multistream import get_static_features\n", "\n", "# 比較用に、自然音声から抽出された音響特徴量を読み込みむ\n", "feats = np.load(find_feats(\"dump/jsut_sr16000/org/\", test_utt, typ=\"out_logf0\"))\n", "# 特徴量の分離\n", "lf0_ref, vuv_ref = get_static_features(\n", " feats, logf0_config.num_windows, logf0_config.stream_sizes, logf0_config.has_dynamic_features)" ] }, { "cell_type": "markdown", "id": "patent-imaging", "metadata": {}, "source": [ "#### F0の可視化" ] }, { "cell_type": "code", "execution_count": 60, "id": "published-modem", "metadata": { "execution": { "iopub.execute_input": "2021-08-21T07:45:14.814183Z", "iopub.status.busy": "2021-08-21T07:45:14.811760Z", "iopub.status.idle": "2021-08-21T07:45:14.882872Z", "shell.execute_reply": "2021-08-21T07:45:14.883157Z" } }, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# 対数基本周波数から基本周波数への変換\n", "f0_ref = np.exp(lf0_ref)\n", "f0_ref[vuv_ref < 0.5] = 0\n", "f0_gen = np.exp(lf0_gen)\n", "f0_gen[vuv_gen < 0.5] = 0\n", "\n", "timeaxis = librosa.frames_to_time(np.arange(len(f0_ref)), sr=sr, hop_length=int(0.005 * sr))\n", "\n", "fix, ax = plt.subplots(1,1, figsize=(8,3))\n", "ax.plot(timeaxis, f0_ref, linewidth=2, label=\"F0 of natural speech\")\n", "ax.plot(timeaxis, f0_gen, \"--\", linewidth=2, label=\"F0 of generated speech\")\n", "\n", "ax.set_xlabel(\"Time [sec]\")\n", "ax.set_ylabel(\"Frequency [Hz]\")\n", "ax.set_xlim(timeaxis[0], timeaxis[-1])\n", "\n", "plt.legend()\n", "plt.tight_layout()" ] }, { "cell_type": "markdown", "id": "configured-cloud", "metadata": {}, "source": [ "### 音声波形の生成" ] }, { "cell_type": "code", "execution_count": 61, "id": "white-miller", "metadata": { "execution": { "iopub.execute_input": "2021-08-21T07:45:14.887424Z", "iopub.status.busy": "2021-08-21T07:45:14.887130Z", "iopub.status.idle": "2021-08-21T07:45:14.888410Z", "shell.execute_reply": "2021-08-21T07:45:14.888634Z" } }, "outputs": [], "source": [ "from ttslearn.dsp import inv_mulaw_quantize\n", "\n", "@torch.no_grad()\n", "def gen_waveform(\n", " device, # cpu or cuda\n", " labels, # フルコンテキストラベル\n", " logf0_vuv, # 連続対数基本周波数と有声/無声フラグ\n", " wavenet_model, # 学習済み WaveNet\n", " wavenet_in_scaler, # 条件付け特徴量の正規化用 StandardScaler\n", " binary_dict, # 二値特徴量を抽出する正規表現\n", " numeric_dict, # 数値特徴量を抽出する正規表現\n", " tqdm=tqdm, # プログレスバー\n", "):\n", " # フレーム単位の言語特徴量の抽出\n", " in_feats = fe.linguistic_features(\n", " labels,\n", " binary_dict,\n", " numeric_dict,\n", " add_frame_features=True,\n", " subphone_features=\"coarse_coding\",\n", " )\n", " # フレーム単位の言語特徴量と、対数連続基本周波数・有声/無声フラグを結合\n", " in_feats = np.hstack([in_feats, logf0_vuv])\n", "\n", " # 特徴量の正規化\n", " in_feats = wavenet_in_scaler.transform(in_feats)\n", "\n", " # 条件付け特徴量を numpy.ndarray から torch.Tensor に変換\n", " c = torch.from_numpy(in_feats).float().to(device)\n", " # (B, T, C) -> (B, C, T)\n", " c = c.view(1, -1, c.size(-1)).transpose(1, 2)\n", "\n", " # 音声波形の長さを計算\n", " upsample_scale = np.prod(wavenet_model.upsample_scales)\n", " time_steps = (c.shape[-1] - wavenet_model.aux_context_window * 2) * upsample_scale\n", "\n", " # WaveNet による音声波形の生成\n", " # NOTE: 計算に時間を要するため、tqdm によるプログレスバーを利用します\n", " gen_wav = wavenet_model.inference(c, time_steps, tqdm)\n", "\n", " # One-hot ベクトルから 1 次元の信号に変換\n", " gen_wav = gen_wav.max(1)[1].float().cpu().numpy().reshape(-1)\n", "\n", " # Mu-law 量子化の逆変換\n", " gen_wav = inv_mulaw_quantize(gen_wav, wavenet_model.out_channels - 1)\n", "\n", " return gen_wav" ] }, { "cell_type": "markdown", "id": "southeast-directive", "metadata": {}, "source": [ "### すべてのモデルを組み合わせて音声波形の生成" ] }, { "cell_type": "code", "execution_count": 62, "id": "medium-mention", "metadata": { "execution": { "iopub.execute_input": "2021-08-21T07:45:14.891607Z", "iopub.status.busy": "2021-08-21T07:45:14.891191Z", "iopub.status.idle": "2021-08-21T07:48:16.270995Z", "shell.execute_reply": "2021-08-21T07:48:16.271355Z" } }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "cd261e78a6364d09a7f38afe7c1fea2c", "version_major": 2, "version_minor": 0 }, "text/plain": [ " 0%| | 0/44640 [00:00\n", " \n", " Your browser does not support the audio element.\n", " \n", " " ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "WaveNet音声合成\n" ] }, { "data": { "text/html": [ "\n", " \n", " " ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(2, 1, figsize=(8,6))\n", "\n", "hop_length = int(sr * 0.005)\n", "fft_size = pyworld.get_cheaptrick_fft_size(sr)\n", "\n", "spec_ref = librosa.stft(ref_wav, n_fft=fft_size, hop_length=hop_length, window=\"hann\")\n", "logspec_ref = np.log(np.abs(spec_ref))\n", "spec_gen = librosa.stft(gen_wav, n_fft=fft_size, hop_length=hop_length, window=\"hann\")\n", "logspec_gen = np.log(np.abs(spec_gen))\n", "\n", "mindb = min(logspec_ref.min(), logspec_gen.min())\n", "maxdb = max(logspec_ref.max(), logspec_gen.max())\n", "\n", "mesh = librosa.display.specshow(logspec_ref, hop_length=hop_length, sr=sr, cmap=cmap, x_axis=\"time\", y_axis=\"hz\", ax=ax[0])\n", "mesh.set_clim(mindb, maxdb)\n", "fig.colorbar(mesh, ax=ax[0], format=\"%+2.fdB\")\n", "\n", "mesh = librosa.display.specshow(logspec_gen, hop_length=hop_length, sr=sr, cmap=cmap, x_axis=\"time\", y_axis=\"hz\", ax=ax[1])\n", "mesh.set_clim(mindb, maxdb)\n", "fig.colorbar(mesh, ax=ax[1], format=\"%+2.fdB\")\n", "\n", "ax[0].set_title(\"Spectrogram of natural speech\")\n", "ax[1].set_title(\"Spectrogram of generated speech\")\n", "for a in ax:\n", " a.set_xlabel(\"Time [sec]\")\n", " a.set_ylabel(\"Frequency [Hz]\")\n", "\n", "plt.tight_layout()\n", "\n", "print(\"自然音声\")\n", "IPython.display.display(Audio(ref_wav, rate=sr))\n", "print(\"WaveNet音声合成\")\n", "IPython.display.display(Audio(gen_wav, rate=sr))\n", "\n", "# 図8-7\n", "savefig(\"./fig/wavenet_impl_tts_spec_comp\")" ] }, { "cell_type": "markdown", "id": "multiple-wholesale", "metadata": {}, "source": [ "### 評価データに対して音声波形生成" ] }, { "cell_type": "markdown", "id": "italian-external", "metadata": {}, "source": [ "#### レシピの stage 8 の実行" ] }, { "cell_type": "code", "execution_count": 65, "id": "corporate-cosmetic", "metadata": { "execution": { "iopub.execute_input": "2021-08-21T07:48:17.530839Z", "iopub.status.busy": "2021-08-21T07:48:17.530516Z", "iopub.status.idle": "2021-08-21T07:48:17.532229Z", "shell.execute_reply": "2021-08-21T07:48:17.531948Z" } }, "outputs": [], "source": [ "if run_sh and run_stage8:\n", " ! ./run.sh --stage 8 --stop-stage 8 \\\n", " --tqdm $run_sh_tqdm --duration-model $duration_config_name --logf0-model $logf0_config_name --wavenet-model $wavenet_config_name \\\n", " --reverse true --num-eval-utts $num_eval_utts" ] }, { "cell_type": "markdown", "id": "foreign-giving", "metadata": {}, "source": [ "## 自然音声と合成音声の比較 (bonus)" ] }, { "cell_type": "code", "execution_count": 66, "id": "legislative-sampling", "metadata": { "execution": { "iopub.execute_input": "2021-08-21T07:48:17.535769Z", "iopub.status.busy": "2021-08-21T07:48:17.535444Z", "iopub.status.idle": "2021-08-21T07:48:17.924257Z", "shell.execute_reply": "2021-08-21T07:48:17.923970Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "BASIC5000_5000: あと30分の猶予が与えられた。\n", "\n", "自然音声\n" ] }, { "data": { "text/html": [ "\n", " \n", " " ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "WaveNet音声合成\n" ] }, { "data": { "text/html": [ "\n", " \n", " " ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "BASIC5000_4999: ドナーから腎臓の提供を受ける。\n", "\n", "自然音声\n" ] }, { "data": { "text/html": [ "\n", " \n", " " ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "WaveNet音声合成\n" ] }, { "data": { "text/html": [ "\n", " \n", " " ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "BASIC5000_4998: 村人たちは、その話を聞いて、震え上がった。\n", "\n", "自然音声\n" ] }, { "data": { "text/html": [ "\n", " \n", " " ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "WaveNet音声合成\n" ] }, { "data": { "text/html": [ "\n", " \n", " " ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "BASIC5000_4997: その王国は、最後の王に嗣子がおらず、滅亡した。\n", "\n", "自然音声\n" ] }, { "data": { "text/html": [ "\n", " \n", " " ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "WaveNet音声合成\n" ] }, { "data": { "text/html": [ "\n", " \n", " " ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "BASIC5000_4996: 扇型の、弧の長さを、計算で求める。\n", "\n", "自然音声\n" ] }, { "data": { "text/html": [ "\n", " \n", " " ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "WaveNet音声合成\n" ] }, { "data": { "text/html": [ "\n", " \n", " " ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from pathlib import Path\n", "from ttslearn.util import load_utt_list\n", "\n", "with open(\"./downloads/jsut_ver1.1/basic5000/transcript_utf8.txt\") as f:\n", " transcripts = {}\n", " for l in f:\n", " utt_id, script = l.split(\":\")\n", " transcripts[utt_id] = script\n", " \n", "eval_list = load_utt_list(\"data/eval.list\")[::-1][:5]\n", "\n", "for utt_id in eval_list:\n", " # ref file \n", " ref_file = f\"./downloads/jsut_ver1.1/basic5000/wav/{utt_id}.wav\"\n", " _sr, ref_wav = wavfile.read(ref_file)\n", " ref_wav = (ref_wav / 32768.0).astype(np.float64)\n", " ref_wav = librosa.resample(ref_wav, _sr, sr)\n", " \n", " print(f\"{utt_id}: {transcripts[utt_id]}\")\n", " print(\"自然音声\")\n", " IPython.display.display(Audio(ref_wav, rate=sr))\n", "\n", " gen_file = f\"exp/jsut_sr16000/synthesis_{duration_config_name}_{logf0_config_name}_{wavenet_config_name}/eval/{utt_id}.wav\"\n", " if exists(gen_file):\n", " _sr, gen_wav = wavfile.read(gen_file) \n", " print(\"WaveNet音声合成\")\n", " IPython.display.display(Audio(gen_wav, rate=sr))\n", " else:\n", " # 音声生成が完了していない場合\n", " print(\"WaveNet音声合成: not found\")" ] }, { "cell_type": "markdown", "id": "operating-worthy", "metadata": {}, "source": [ "## 学習済みモデルのパッケージング (bonus)\n", "\n", "学習済みモデルを利用したTTSに必要なファイルをすべて単一のディレクトリにまとめます。\n", "`ttslearn.wavenet.WaveNetTTS` クラスには、まとめたディレクトリを指定し、TTSを行う機能が実装されています。" ] }, { "cell_type": "markdown", "id": "provincial-delhi", "metadata": {}, "source": [ "### レシピの stage 99 の実行" ] }, { "cell_type": "code", "execution_count": 67, "id": "liable-mistake", "metadata": { "execution": { "iopub.execute_input": "2021-08-21T07:48:17.926619Z", "iopub.status.busy": "2021-08-21T07:48:17.926353Z", "iopub.status.idle": "2021-08-21T07:48:17.927924Z", "shell.execute_reply": "2021-08-21T07:48:17.927649Z" } }, "outputs": [], "source": [ "if run_sh:\n", " ! ./run.sh --stage 99 --stop-stage 99 \\\n", " --duration-model $duration_config_name --logf0-model $logf0_config_name --wavenet-model $wavenet_config_name" ] }, { "cell_type": "code", "execution_count": 68, "id": "meaning-bulgarian", "metadata": { "execution": { "iopub.execute_input": "2021-08-21T07:48:17.949275Z", "iopub.status.busy": "2021-08-21T07:48:17.948983Z", "iopub.status.idle": "2021-08-21T07:48:18.094228Z", "shell.execute_reply": "2021-08-21T07:48:18.092643Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "config.yaml\t\t logf0_model.pth\r\n", "duration_model.pth\t logf0_model.yaml\r\n", "duration_model.yaml\t out_duration_scaler_mean.npy\r\n", "in_duration_scaler_mean.npy out_duration_scaler_scale.npy\r\n", "in_duration_scaler_scale.npy out_duration_scaler_var.npy\r\n", "in_duration_scaler_var.npy out_logf0_scaler_mean.npy\r\n", "in_logf0_scaler_mean.npy out_logf0_scaler_scale.npy\r\n", "in_logf0_scaler_scale.npy out_logf0_scaler_var.npy\r\n", "in_logf0_scaler_var.npy qst.hed\r\n", "in_wavenet_scaler_mean.npy wavenet_model.pth\r\n", "in_wavenet_scaler_scale.npy wavenet_model.yaml\r\n", "in_wavenet_scaler_var.npy\r\n" ] } ], "source": [ "!ls tts_models/jsut_sr16000_{duration_config_name}_{logf0_config_name}_{wavenet_config_name}" ] }, { "cell_type": "markdown", "id": "pursuant-float", "metadata": {}, "source": [ "### パッケージングしたモデルを利用したTTS" ] }, { "cell_type": "code", "execution_count": 69, "id": "innocent-slovakia", "metadata": { "execution": { "iopub.execute_input": "2021-08-21T07:48:18.110159Z", "iopub.status.busy": "2021-08-21T07:48:18.108629Z", "iopub.status.idle": "2021-08-21T07:51:46.005135Z", "shell.execute_reply": "2021-08-21T07:51:46.004833Z" } }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "485e8d87c78548528eab3cbad40b0105", "version_major": 2, "version_minor": 0 }, "text/plain": [ " 0%| | 0/50880 [00:00\n", " \n", " Your browser does not support the audio element.\n", " \n", " " ], "text/plain": [ "" ] }, "execution_count": 1, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "from ttslearn.wavenet import WaveNetTTS\n", "\n", "# パッケージングしたモデルのパスを指定します\n", "engine = WaveNetTTS(\n", " model_dir=f\"./tts_models/jsut_sr16000_{duration_config_name}_{logf0_config_name}_{wavenet_config_name}\"\n", ")\n", "wav, sr = engine.tts(\"ここまでお読みいただき、ありがとうございました。\", tqdm=tqdm)\n", "\n", "fig, ax = plt.subplots(figsize=(8,2))\n", "librosa.display.waveplot(wav.astype(np.float32), sr, ax=ax)\n", "ax.set_xlabel(\"Time [sec]\")\n", "ax.set_ylabel(\"Amplitude\")\n", "plt.tight_layout()\n", "\n", "Audio(wav, rate=sr)" ] }, { "cell_type": "code", "execution_count": 70, "id": "minute-church", "metadata": { "execution": { "iopub.execute_input": "2021-08-21T07:51:46.007176Z", "iopub.status.busy": "2021-08-21T07:51:46.006904Z", "iopub.status.idle": "2021-08-21T07:51:46.010771Z", "shell.execute_reply": "2021-08-21T07:51:46.011044Z" } }, "outputs": [], "source": [ "if is_colab():\n", " from datetime import timedelta\n", " elapsed = (time.time() - start_time)\n", " print(\"所要時間:\", str(timedelta(seconds=elapsed)))" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.8.6" }, "widgets": { "application/vnd.jupyter.widget-state+json": { "state": { "03f84263b56a4c4495fc815c2519a379": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "071f904f6c4b4434804c3626af33da05": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "0af2914375c84fdeaa580ccd52e34f8f": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_e325fe53f05e4d5181bdc4c453674d3f", "placeholder": "​", "style": "IPY_MODEL_238bb90e5339470890ba46a5d0ea6f8c", "value": " 50880/50880 [03:25<00:00, 245.98it/s]" } }, "12290189adcf48229812fdc7f2562523": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": "" } }, "1230e801c2ae46098710dd6e83dfb7af": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "17e19faf96e648d1b31722d5e502381a": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "FloatProgressModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "FloatProgressModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "ProgressView", "bar_style": "success", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_071f904f6c4b4434804c3626af33da05", "max": 50880.0, "min": 0.0, "orientation": "horizontal", "style": "IPY_MODEL_c19fa0b963cf4207b5fd872d13c62c56", "value": 50880.0 } }, "238bb90e5339470890ba46a5d0ea6f8c": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": "" } }, "29f5113b12f44804b114e1afcd70a15e": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "2e639d2c516e4806b914478034a3a98a": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "FloatProgressModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "FloatProgressModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "ProgressView", "bar_style": "success", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_dd10a6f9845345d1856cd2a9e18177aa", "max": 37440.0, "min": 0.0, "orientation": "horizontal", "style": "IPY_MODEL_4a674b6c78ad4e2fbe1a8e2176c4df43", "value": 37440.0 } }, "2f5f6f0d0fc246f5ad8bc2735503d6fb": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_1230e801c2ae46098710dd6e83dfb7af", "placeholder": "​", "style": "IPY_MODEL_3fe1fbee9cb3491fbf1f64bf3f609722", "value": " 44640/44640 [02:59<00:00, 252.80it/s]" } }, "314c712566254ef99de38f0e0bc69323": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_83367f41dba4480895ec07647e2f285d", "placeholder": "​", "style": "IPY_MODEL_5935bb887db44ad3ae9c0d268262465e", "value": "100%" } }, "3b4c592440f04220b2a7cbb90039e75c": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "3fe1fbee9cb3491fbf1f64bf3f609722": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": "" } }, "485e8d87c78548528eab3cbad40b0105": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HBoxModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HBoxModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HBoxView", "box_style": "", "children": [ "IPY_MODEL_59e4c9eb98c14ffea9dcc29149bf13fb", "IPY_MODEL_17e19faf96e648d1b31722d5e502381a", "IPY_MODEL_0af2914375c84fdeaa580ccd52e34f8f" ], "layout": "IPY_MODEL_6d20d59e63324e6aa940d3be1bc52338" } }, "4a674b6c78ad4e2fbe1a8e2176c4df43": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": "" } }, "5935bb887db44ad3ae9c0d268262465e": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": "" } }, "59e4c9eb98c14ffea9dcc29149bf13fb": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_3b4c592440f04220b2a7cbb90039e75c", "placeholder": "​", "style": "IPY_MODEL_b95c59e0ac0b4158b49e3d2db3677607", "value": "100%" } }, "600214907a5146209069711dad339bb4": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": "" } }, "64f38f6ddb72403eb0fce2ea569ee520": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_8edad95e36034af68b9ffd912e764e43", "placeholder": "​", "style": "IPY_MODEL_7c838cad60ce40808b4a0adf3102375f", "value": "100%" } }, "6d20d59e63324e6aa940d3be1bc52338": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "7c838cad60ce40808b4a0adf3102375f": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": "" } }, "83367f41dba4480895ec07647e2f285d": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "8ac29127e47340bb93830fb88cde6e99": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HBoxModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HBoxModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HBoxView", "box_style": "", "children": [ "IPY_MODEL_64f38f6ddb72403eb0fce2ea569ee520", "IPY_MODEL_2e639d2c516e4806b914478034a3a98a", "IPY_MODEL_f8e3d63cc31d4aa6b083b46f95fddaa9" ], "layout": "IPY_MODEL_f5291d459ccb4cd394f136d06cdaa7d3" } }, "8edad95e36034af68b9ffd912e764e43": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "b95c59e0ac0b4158b49e3d2db3677607": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "DescriptionStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "DescriptionStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "description_width": "" } }, "c19fa0b963cf4207b5fd872d13c62c56": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "ProgressStyleModel", "state": { "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "ProgressStyleModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "StyleView", "bar_color": null, "description_width": "" } }, "cd261e78a6364d09a7f38afe7c1fea2c": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HBoxModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HBoxModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HBoxView", "box_style": "", "children": [ "IPY_MODEL_314c712566254ef99de38f0e0bc69323", "IPY_MODEL_e8cfac3499e042b5b981111b2fa60e08", "IPY_MODEL_2f5f6f0d0fc246f5ad8bc2735503d6fb" ], "layout": "IPY_MODEL_29f5113b12f44804b114e1afcd70a15e" } }, "d575d7f69c644d008e8c6f45e2558317": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "dd10a6f9845345d1856cd2a9e18177aa": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "e325fe53f05e4d5181bdc4c453674d3f": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "e8cfac3499e042b5b981111b2fa60e08": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "FloatProgressModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "FloatProgressModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "ProgressView", "bar_style": "success", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_03f84263b56a4c4495fc815c2519a379", "max": 44640.0, "min": 0.0, "orientation": "horizontal", "style": "IPY_MODEL_12290189adcf48229812fdc7f2562523", "value": 44640.0 } }, "f5291d459ccb4cd394f136d06cdaa7d3": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", "state": { "_model_module": "@jupyter-widgets/base", "_model_module_version": "1.2.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "1.2.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": null, "grid_template_columns": null, "grid_template_rows": null, "height": null, "justify_content": null, "justify_items": null, "left": null, "margin": null, "max_height": null, "max_width": null, "min_height": null, "min_width": null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "overflow_x": null, "overflow_y": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null } }, "f8e3d63cc31d4aa6b083b46f95fddaa9": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HTMLView", "description": "", "description_tooltip": null, "layout": "IPY_MODEL_d575d7f69c644d008e8c6f45e2558317", "placeholder": "​", "style": "IPY_MODEL_600214907a5146209069711dad339bb4", "value": " 37440/37440 [02:37<00:00, 237.52it/s]" } } }, "version_major": 2, "version_minor": 0 } } }, "nbformat": 4, "nbformat_minor": 5 }