c2acr#

class diffsptk.CepstrumToAutocorrelation(cep_order, acr_order, n_fft=512)[source]#

See this page for details.

Parameters:

cep_orderint >= 0: Order of cepstrum, \(M\).
acr_orderint >= 0: Order of autocorrelation, \(N\).
n_fftint >> N: Number of FFT bins. Accurate conversion requires the large value.

forward(c)[source]#

Convert cepstrum to autocorrelation.

Parameters:

cTensor [shape=(…, M+1)]: Cepstral coefficients.

Returns:

outTensor [shape=(…, N+1)]: Autocorrelation.

Examples

>>> c = diffsptk.nrand(4)
>>> c
tensor([-0.1751,  0.1950, -0.3211,  0.3523, -0.5453])
>>> c2acr = diffsptk.CepstrumToAutocorrelation(4, 4, 16)
>>> r = c2acr(c)
>>> r
tensor([ 1.0672, -0.0485, -0.1564,  0.2666, -0.4551])

diffsptk.functional.c2acr(c, acr_order, n_fft=512)[source]#

Convert cepstrum to autocorrelation.

Parameters:

cTensor [shape=(…, M+1)]: Cepstral coefficients.
acr_orderint >= 0: Order of autocorrelation, \(N\).
n_fftint >> N: Number of FFT bins. Accurate conversion requires the large value.

Returns:

outTensor [shape=(…, N+1)]: Autocorrelation.