LPC_Frame_Analysis

Versione 1.0.0.0 (1,33 MB) da Lawrence Rabiner
LPC analysis of a speech frame using autocorrelation/covariance/lattice methods.
3.0
(2)
598 download
Aggiornato 11 set 2015

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This MATLAB exercise shows how the method of linear predictive coding (LPC) models a speech frame in terms of its fit to the log magnitude spectrum of the speech frame Short Time Fourier Transform (STFT). The three methods of linear prediction, namely the autocorrelation method, the covariance method, and the lattice method, are all used in this exercise so as to compare and contrast the resulting spectral matches. The file '3.16 LPC Frame.pdf' provides a User's Guide for this exercise.

Cita come

Lawrence Rabiner (2024). LPC_Frame_Analysis (https://www.mathworks.com/matlabcentral/fileexchange/52111-lpc_frame_analysis), MATLAB Central File Exchange. Recuperato .

Compatibilità della release di MATLAB
Creato con R2015a
Compatibile con qualsiasi release
Compatibilità della piattaforma
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Versione Pubblicato Note della release
1.0.0.0

added other requirements
added name of User's Guide for this exercise
rev1
works on both R2015a and windows 10
added durbin, cholesky and lattice routines from functions_lrr