dolpc: (Perceptive) Linear Prediction
In tlevine/tuneR: Analysis of music and speech

Description Usage Arguments Value Author(s) References See Also Examples

Compute autoregressive model from spectral magnitude samples via Levinson-Durbin recursion.

1	dolpc(x, modelorder = 8)

`x`	Matrix of spectral magnitude samples (each sample/time frame in one column).
`modelorder`	Lag of the AR model.

Returns a matrix of the normalized AR coefficients (depending on the input spectrum: LPC or PLP coefficients). Every column represents one time frame.

Sebastian Krey krey@statistik.tu-dortmund.de

Daniel P. W. Ellis: http://www.ee.columbia.edu/~dpwe/resources/matlab/rastamat/

levinson

  testsound <- normalize(sine(400) + sine(1000) + square(250), "16")
  pspectrum <- powspec(testsound@left, testsound@samp.rate)
  aspectrum <- audspec(pspectrum, testsound@samp.rate)$aspectrum
  lpcas <- dolpc(aspectrum, 10)