dolpc

0th

Percentile

(Perceptive) Linear Prediction

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

Usage
dolpc(x, modelorder = 8)
Arguments
x

Matrix of spectral magnitude samples (each sample/time frame in one column).

modelorder

Lag of the AR model.

Value

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

References

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

See Also

levinson

Aliases
  • dolpc
Examples
# NOT RUN {
  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)
# }
Documentation reproduced from package tuneR, version 1.3.3, License: GPL-2 | GPL-3

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