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.
引用格式
Lawrence Rabiner (2025). Cepstral_Liftering_of_Speech (https://ww2.mathworks.cn/matlabcentral/fileexchange/52088-cepstral_liftering_of_speech), MATLAB Central File Exchange. 检索时间: .
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- Signal Processing > Signal Processing Toolbox > Transforms, Correlation, and Modeling > Transforms > Cepstral Analysis >
- Signal Processing > Signal Processing Toolbox > Signal Generation, Analysis, and Preprocessing > Smoothing and Denoising >
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Start Hunting!| 版本 | 已发布 | 发行说明 | |
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| 1.0.0.0 | added reference to User's Guide for this exercise
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