ttslearn.dnntts.gen.predict_acoustic

ttslearn.dnntts.gen.predict_acoustic(device, labels, acoustic_model, acoustic_config, acoustic_in_scaler, acoustic_out_scaler, binary_dict, numeric_dict, mlpg=True)

Predict acoustic features.

Parameters

• device (torch.device) – pytorch device

• labels (list) – list of labels

• acoustic_model (nn.Module) – trained acoustic model

• acoustic_config (dict) – configuration of acoustic model

• acoustic_in_scaler (sklearn.preprocessing.StandardScaler) – StandardScaler of acoustic features

• acoustic_out_scaler (sklearn.preprocessing.StandardScaler) – StandardScaler of acoustic output

• binary_dict (dict) – dictionary of binary features

• numeric_dict (dict) – dictionary of numeric features

• mlpg (bool) – whether to use MLPG

Returns

predicted acoustic features

Return type

numpy.ndarray