pnorm

class diffsptk.MelCepstrumPowerNormalization(cep_order, alpha=0, ir_length=128, device=None, dtype=None)

See this page for details.

Parameters:

cep_orderint >= 0

The order of the cepstrum, \(M\).

alphafloat in (-1, 1)

The frequency warping factor, \(\alpha\).

ir_lengthint >= 1

The length of the impulse response.

forward(x)

Perform mel-cepstrum power normalization.

Parameters:

xTensor [shape=(…, M+1)]

The input mel-cepstrum.

Returns:

outTensor [shape=(…, M+2)]

The log power and power-normalized mel-cepstrum.

Examples

>>> x = diffsptk.ramp(1, 4)
>>> pnorm = diffsptk.MelCepstrumPowerNormalization(3, alpha=0.1)
>>> y = pnorm(x)
>>> y
tensor([ 8.2942, -7.2942,  2.0000,  3.0000,  4.0000])

diffsptk.functional.pnorm(x, alpha=0, ir_length=128)

Perform cepstrum power normalization.

Parameters:

xTensor [shape=(…, M+1)]

The input mel-cepstrum.

alphafloat in (-1, 1)

The frequency warping factor, \(\alpha\).

ir_lengthint >= 1

The length of the impulse response.

Returns:

outTensor [shape=(…, M+2)]

The power-normalized cepstrum.

See also

ipnorm