Cepstral_Liftering_of_Speech
This MATLAB exercise shows the spectral smoothing effects of low quefrency cepstral liftering on the lig magnitude spectrum of a speech signal. This is done by first computing the real cepstrum of a window-weighted frame of speech, and saving the resulting log magnitude spectrum as the baseline (unsmoothed) speech spectrum. A low quefrency lifter is then used to effectively smooth the log magnitude spectrum with the cutoff quefrency varied from a low value of 20 to a high value of 100, in steps of 20 quefrencies. The file '3.14Cepstral Liftering.pdf' provides a User's Guide for this exercise.
인용 양식
Lawrence Rabiner (2024). Cepstral_Liftering_of_Speech (https://www.mathworks.com/matlabcentral/fileexchange/52088-cepstral_liftering_of_speech), MATLAB Central File Exchange. 검색됨 .
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- Signal Processing > Signal Processing Toolbox > Signal Generation and Preprocessing > Smoothing and Denoising >
- Signal Processing > Signal Processing Toolbox > Transforms, Correlation, and Modeling > Transforms > Cepstral Analysis >
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