lpc | R Documentation |

Predict autoregressive filter coefficients.

```
lpc (sound, order = round(fs/1000)+3, fs = 10000, show = FALSE,
add = FALSE, preemph = TRUE)
```

`sound` |
Either a numeric vector representing a sequence of samples taken from a sound wave or a sound object created with the loadsound() or makesound() functions. |

`order` |
The number of LPC coefficients to be estimated. By default there is 2 per kHz below the Nyquist frequency plus 3 extra coefficients. |

`fs` |
The sampling frequency in Hz. If a sound object is passed this does not need to be specificed. |

`show` |
If TRUE, the frequency response of the estimated filter is plotted. |

`add` |
If TRUE, the frequency response plot is added to an existing plot. |

`preemph` |
If TRUE, preemphasis of 3 dB per octave is applied to the sound before analysis. |

LPC coefficients are estimated using the autocorrelation method. The signal is windowed with a Hanning window prior to analysis.

A vector containing the LPC coefficients is returned.

Santiago Barreda <sbarreda@ucdavis.edu>

```
## make a synthetic vowel with a known set of formant frequencies
#sound = vowelsynth (ffs = c(500,1500,2500,3500,4500),
#fbw = c(30, 80, 150, 200, 220),f0 = 100, dur = 250)
## let the LPC function estimate the filter used to generate the vowel
#coeffs = lpc (sound, show = TRUE)
```

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