Spectral_Smoothing

Versión 1.0.0.0 (1,22 MB) por Lawrence Rabiner
This exercise smooths the log magnitude spectrum of a frame of voiced speech using liftering
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Actualizado 11 sep 2015

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This MATLAB exercise processes a designated frame of voiced speech from a user specified speech file, using a designated window and calculates the log magnitude spectrum of the STFT of the windowed frame of speech. Next the exercise does LPC analysis of the speech frame using a pth-order predictor and computes the log magnitude spectrum of the LPC polynomial. Finally cepstral analysis is performed with the cepstrum liftered using a low frequency lifter (with lowest retained quefrency specified by the user). The exercise plots the three log magnitude spectrums on a common plot for comparison of the three log magnitude spectrums. The file '3.22 Spectral Smoothing.pdf' provides a User's Guide for this exercise.

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Lawrence Rabiner (2025). Spectral_Smoothing (https://es.mathworks.com/matlabcentral/fileexchange/52133-spectral_smoothing), MATLAB Central File Exchange. Recuperado .

Compatibilidad con la versión de MATLAB
Se creó con R2015a
Compatible con cualquier versión
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Versión Publicado Notas de la versión
1.0.0.0

Added autolpc from functions_lrr
works on both R2015a and windows 10
added name of User's Guide for this exercise