LPC_Frame_Analysis

LPC analysis of a speech frame using autocorrelation/covariance/lattice methods.
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Mise à jour 11 sept. 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.

Citation pour cette source

Lawrence Rabiner (2026). LPC_Frame_Analysis (https://fr.mathworks.com/matlabcentral/fileexchange/52111-lpc_frame_analysis), MATLAB Central File Exchange. Extrait(e) le .

Compatibilité avec les versions de MATLAB
Créé avec R2015a
Compatible avec toutes les versions
Plateformes compatibles
Windows macOS Linux
Version Publié le Notes de version
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