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Waveform Similarity and Overlap Add (WSOLA) for Speech and Audio

version 1.4.0.0 (2.94 MB) by Speech Processing
implements the WSOLA method of Verhelst and Roelands for for High Quality Time-Scaled speech

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Updated 23 Jun 2015

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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 implements the Waveform Similarity and Overlap Add (WSOLA) method of Verhelst and Roelands (An Overlap-Add Technique Based on Waveform Similarity (WSOLA) for High Quality Time-Scale Modification of Speech, Werner Verhelst and Marc Roelands, ICASSP 1993, pp. II-554-II-557).The MATLAB exercise speeds-up or slows-down a speech or audio file by a factor of alpha, where alpha is in the range of 0.33 (slow-down by a factor of 3-to-1) to 4.0 (speed-up by a factor of 4-to-1).

Cite As

Speech Processing (2021). Waveform Similarity and Overlap Add (WSOLA) for Speech and Audio (https://www.mathworks.com/matlabcentral/fileexchange/45451-waveform-similarity-and-overlap-add-wsola-for-speech-and-audio), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2015a
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