imglsadf#

diffsptk.IMLSA#: alias of PseudoInverseMGLSADigitalFilter

class diffsptk.PseudoInverseMGLSADigitalFilter(filter_order: int, frame_period: int, **kwargs)[source]#

See PseudoMGLSADigitalFilter() for details.

forward(y: Tensor, mc: Tensor) → Tensor[source]#

Apply an inverse MGLSA digital filter.

Parameters:

yTensor [shape=(…, T)]: The input signal.
mcTensor [shape=(…, T/P, M+1)] or [shape=(…, T/P, N+M+1)]: The mel-generalized cepstrum, not MLSA digital filter coefficients. Note that the mixed-phase case assumes that the coefficients are of the form c_{-N}, …, c_{0}, …, c_{M}, where M is the order of the minimum-phase part and N is the order of the maximum-phase part.

Returns:

outTensor [shape=(…, T)]: The residual signal.

Examples

>>> import diffsptk
>>> import torch
>>> imglsadf = diffsptk.IMLSA(1, frame_period=2)
>>> y = diffsptk.step(3)
>>> mc = torch.tensor([[0.3, 0.5], [-0.2, 0.1]])
>>> x = imglsadf(y, mc)
>>> x
tensor([0.7408, 0.6659, 1.1176, 1.1048])