fftcep#

class diffsptk.CepstralAnalysis(*, fft_length, cep_order, accel=0, n_iter=0)[source]#

See this page for details.

Parameters:

fft_lengthint >= 2M: The number of FFT bins, \(L\).
cep_orderint >= 0: The order of the cepstrum, \(M\).
accelfloat >= 0: The acceleration factor.
n_iterint >= 0: The number of iterations.

References

[1]

S. Imai et al., “Spectral envelope extraction by improved cepstral method,” IEICE trans, vol. J62-A, no. 4, pp. 217-223, 1979 (in Japanese).

forward(x)[source]#

Perform cepstral analysis.

Parameters:

xTensor [shape=(…, L/2+1)]: The power spectrum.

Returns:

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

Examples

>>> x = diffsptk.ramp(19)
>>> stft = diffsptk.STFT(frame_length=10, frame_period=10, fft_length=16)
>>> fftcep = diffsptk.CepstralAnalysis(fft_length=16, cep_order=3)
>>> c = fftcep(stft(x))
>>> c
tensor([[-0.9663,  0.8190, -0.0932, -0.0152],
        [-0.8539,  4.6173, -0.5496, -0.3207]])

diffsptk.functional.fftcep(x, cep_order, accel=0, n_iter=0)[source]#

Perform cepstral analysis.

Parameters:

xTensor [shape=(…, L/2+1)]: The power spectrum.
cep_orderint >= 0: The order of the cepstrum, \(M\).
accelfloat >= 0: The acceleration factor.
n_iterint >= 0: The number of iterations.

Returns:

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

fftcep#

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