lpc#
- diffsptk.LPC#
alias of
LinearPredictiveCodingAnalysis
- class diffsptk.LinearPredictiveCodingAnalysis(lpc_order, frame_length)[source]#
See this page for details. This module is a simple cascade of acorr and levdur.
- Parameters:
- lpc_orderint >= 0 [scalar]
Order of LPC, \(M\).
- frame_lengthint > M [scalar]
Frame length, \(L\).
- forward(x)[source]#
Perform LPC analysis.
- Parameters:
- xTensor [shape=(…, L)]
Framed waveform.
- Returns:
- aTensor [shape=(…, M+1)]
Gain and LPC coefficients.
Examples
>>> x = diffsptk.nrand(4) tensor([ 0.8226, -0.0284, -0.5715, 0.2127, 0.1217]) >>> lpc = diffsptk.LPC(2, 5) >>> a = lpc(x) >>> a tensor([0.8726, 0.1475, 0.5270])