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.
Speech Processing (2022). spectral smoothing (https://www.mathworks.com/matlabcentral/fileexchange/45437-spectral-smoothing), MATLAB Central File Exchange. Retrieved .
MATLAB Release Compatibility
Platform CompatibilityWindows macOS Linux
- Signal Processing > Signal Processing Toolbox > Transforms, Correlation, and Modeling > Signal Modeling >
- Signal Processing > Audio Toolbox > Simulation, Tuning, and Visualization >
- Signal Processing > Signal Processing Toolbox > Transforms, Correlation, and Modeling > Transforms > Cepstral Analysis >
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