gnorm

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

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.

References

[1]

T. Kobayashi et al., “Spectral analysis using generalized cepstrum,” IEEE Transactions on Acoustics, Speech, and Signal Processing, vol. 32, no. 5, pp. 1087-1089, 1984.

forward(x)

Perform cepstrum gain normalization.

Parameters:

xTensor [shape=(…, M+1)]

Generalized cepstrum.

Returns:

outTensor [shape=(…, M+1)]

Normalized generalized cepstrum.

Examples

>>> x = diffsptk.ramp(1, 4)
>>> gnorm = diffsptk.GeneralizedCepstrumGainNormalization(3, c=2)
>>> y = gnorm(x)
>>> y
tensor([2.2500, 1.3333, 2.0000, 2.6667])

diffsptk.functional.gnorm(x, gamma=0, c=None)

Perform cepstrum gain normalization.

Parameters:

xTensor [shape=(…, M+1)]

Generalized cepstrum.

gammafloat in [-1, 1]

Gamma, \(\gamma\).

cint >= 1 or None

Number of stages.

Returns:

outTensor [shape=(…, M+1)]

Normalized generalized cepstrum.

See also

ignorm mgc2mgc