nnmnkwii.autograd.mlpg

nnmnkwii.autograd.mlpg(means, variances, windows)[source]

Maximum Liklihood Paramter Generation (MLPG).

The parameters are almost same as nnmnkwii.paramgen.mlpg() expects. The differences are:

  • The function assumes means as torch.autograd.Variable instead of numpy.ndarray.

  • The fucntion assumes variances_frames as torch.FloatTensor instead of numpy.ndarray.

Parameters

  • means (torch.autograd.Variable) – Means

  • variances (torch.FloatTensor) – Variances

  • windows (list) – A sequence of window specification

See also

nnmnkwii.autograd.MLPG, nnmnkwii.paramgen.mlpg()