c2acr

class diffsptk.CepstrumToAutocorrelation(cep_order, acr_order, n_fft=512)

See this page for details.

Parameters:

cep_orderint >= 0

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

acr_orderint >= 0

The order of the autocorrelation, \(N\).

n_fftint >> N

The number of FFT bins used for conversion. The accurate conversion requires the large value.

forward(c)

Convert cepstrum to autocorrelation.

Parameters:

cTensor [shape=(…, M+1)]

The cepstral coefficients.

Returns:

outTensor [shape=(…, N+1)]

The 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)

Convert cepstrum to autocorrelation.

Parameters:

cTensor [shape=(…, M+1)]

The cepstral coefficients.

acr_orderint >= 0

The order of the autocorrelation, \(N\).

n_fftint >> N

The number of FFT bins used for conversion.

Returns:

outTensor [shape=(…, N+1)]

The autocorrelation.

See also

acorr