Cepstrum Computation
Speech processing designates a team consisting of Prof. Lawrence Rabiner (Rutgers University and University of California, Santa Barbara), Prof. Ronald Schafer (Stanford University), Kirty Vedula and Siva Yedithi (Rutgers University). This exercise is one of a set of speech processing exercises that are intended to supplement the teaching material in the textbook “Theory and Applications of Digital Speech Processing” by L R Rabiner and R W Schafer.
This MATLAB exercise compares two different methods of cepstrum analysis of a finite duration frame of speech, namely the conventional method based on FFTs (with frame unwrapping for the complex cepstrum), and an analytical method based on solving for the roots of a finite order numerator polynomial and directly computing the cepstrum from the locations of the polynomial roots.
Citation pour cette source
Speech Processing (2024). Cepstrum Computation (https://www.mathworks.com/matlabcentral/fileexchange/45585-cepstrum-computation), MATLAB Central File Exchange. Récupéré le .
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- Signal Processing > Signal Processing Toolbox > Transforms, Correlation, and Modeling > Transforms > Cepstral Analysis >
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1.4.0.0 | Updated to work with post-R2014b graphics |
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1.1.0.0 | code updates; Read_Me.txt setup file; pathnew_matlab_central example |
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1.0.0.0 |