ignorm

class diffsptk.GeneralizedCepstrumInverseGainNormalization(cep_order, gamma=0, c=None)

See this page for details.

Parameters:

cep_orderint >= 0 [scalar]

Order of cepstrum, \(M\).

gammafloat [-1 <= gamma <= 1]

Gamma, \(\gamma\).

cint >= 1 [scalar]

Number of stages.

forward(y)

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.])

See also

gnorm mgc2mgc