csm2acr#

class diffsptk.CompositeSinusoidalModelCoefficientsToAutocorrelation(csm_order)[source]#

See this page for details.

Parameters:

csm_orderint >= 0: Order of CSM coefficients, \(M\).

forward(c)[source]#

Convert CSM coefficients to autocorrelation.

Parameters:

cTensor [shape=(…, M+1)]: Composite sinusoidal model coefficients.

Returns:

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

Examples

>>> x = diffsptk.nrand(4)
>>> acorr = diffsptk.Autocorrelation(5, 3)
>>> acr2csm = diffsptk.AutocorrelationToCompositeSinusoidalModelCoefficients(3)
>>> csm2acr = diffsptk.CompositeSinusoidalModelCoefficientsToAutocorrelation(3)
>>> r = acorr(x)
>>> r
tensor([ 8.8894, -0.1102, -4.1748,  0.7501])
>>> r2 = csm2acr(acr2csm(r))
>>> r2
tensor([ 8.8894, -0.1102, -4.1748,  0.7501])

diffsptk.functional.csm2acr(c)[source]#

Convert CSM coefficients to autocorrelation.

Parameters:

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

Returns:

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