lsp2lpc#

class diffsptk.LineSpectralPairsToLinearPredictiveCoefficients(lpc_order, log_gain=False)[source]#

See this page for details.

Parameters:

lpc_orderint >= 0: Order of LPC, \(M\).
log_gainbool: If True, assume input gain is in log scale.

forward(w)[source]#

Convert LSP to LPC.

Parameters:

wTensor [shape=(…, M+1)]: LSP frequencies in radians.

Returns:

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

Examples

>>> w = diffsptk.ramp(3)
>>> lsp2lpc = diffsptk.LineSpectralPairsToLinearPredictiveCoefficients(3)
>>> a = lsp2lpc(w)
>>> a
tensor([ 0.0000,  0.8658, -0.0698,  0.0335])

diffsptk.functional.lsp2lpc(w, log_gain=False)[source]#

Convert LSP to LPC.

Parameters:

wTensor [shape=(…, M+1)]: LSP frequencies in radians.
log_gainbool: If True, assume input gain is in log scale.

Returns:

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