Spectral_Smoothing
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.
Cite As
Lawrence Rabiner (2026). Spectral_Smoothing (https://in.mathworks.com/matlabcentral/fileexchange/52133-spectral_smoothing), MATLAB Central File Exchange. Retrieved .
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- Signal Processing > Signal Processing Toolbox > Signal Generation, Analysis, and Preprocessing > Smoothing and Denoising >
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| Version | Published | Release Notes | |
|---|---|---|---|
| 1.0.0.0 |
Added autolpc from functions_lrr
|
