spectral smoothing

This exercise smooths the log magnitude spectrum of a frame of voiced speech using liftering.
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Updated 3 Jun 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.

Cite As

Speech Processing (2024). spectral smoothing (https://www.mathworks.com/matlabcentral/fileexchange/45437-spectral-smoothing), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2012b
Compatible with any release
Platform Compatibility
Windows macOS Linux

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Version Published Release Notes
1.4.0.0

Updated to work with post-R2014b graphics

1.2.0.0

code updates; Read_Me.txt setup file; pathnew_matlab_central example

1.1.0.0

changed text size on buttons

1.0.0.0