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.
Citation pour cette source
Lawrence Rabiner (2024). Spectral_Smoothing (https://www.mathworks.com/matlabcentral/fileexchange/52133-spectral_smoothing), MATLAB Central File Exchange. Récupéré le .
Compatibilité avec les versions de MATLAB
Plateformes compatibles
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- Signal Processing > Signal Processing Toolbox > Signal Generation and Preprocessing > Smoothing and Denoising >
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Version | Publié le | Notes de version | |
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1.0.0.0 |
Added autolpc from functions_lrr
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