ignorm#

class diffsptk.GeneralizedCepstrumInverseGainNormalization(cep_order, gamma=0, c=None)[source]#

See this page for details.

Parameters:

cep_orderint >= 0: Order of cepstrum, \(M\).
gammafloat in [-1, 1]: Gamma, \(\gamma\).
cint >= 1 or None: Number of stages.

forward(y)[source]#

Perform cepstrum inverse gain normalization.

Parameters:

yTensor [shape=(…, M+1)]: Normalized generalized cepstrum.

Returns:

xTensor [shape=(…, M+1)]: Generalized cepstrum.

Examples

>>> x = diffsptk.ramp(1, 4)
>>> gnorm = diffsptk.GeneralizedCepstrumGainNormalization(3, c=2)
>>> ignorm = diffsptk.GeneralizedCepstrumInverseGainNormalization(3, c=2)
>>> x2 = ignorm(gnorm(x))
>>> x2
tensor([1., 2., 3., 4.])

diffsptk.functional.ignorm(y, gamma=0, c=None)[source]#

Perform cepstrum inverse gain normalization.

Parameters:

yTensor [shape=(…, M+1)]: Normalized generalized cepstrum.
gammafloat in [-1, 1]: Gamma, \(\gamma\).
cint >= 1 or None: Number of stages.

Returns:

outTensor [shape=(…, M+1)]: Generalized cepstrum.