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Proceedings Paper

Comparison of time-frequency signal analysis techniques with application to speech recognition
Author(s): Andrew P. Reilly; Boualem Boashash
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Paper Abstract

Techniques for machine recognition of speech exist, but use representations of the speech signal which cannot convey some of the speech information. Alternatives from time-frequency and time-scale analysis are compared with the traditional methods with a view to improving the word recognition rate. Experiments have shown the speech recognition rate improves in some cases.

Paper Details

Date Published: 30 November 1992
PDF: 12 pages
Proc. SPIE 1770, Advanced Signal Processing Algorithms, Architectures, and Implementations III, (30 November 1992); doi: 10.1117/12.130941
Show Author Affiliations
Andrew P. Reilly, Queensland Univ. of Technology (Australia)
Boualem Boashash, Queensland Univ. of Technology (Australia)

Published in SPIE Proceedings Vol. 1770:
Advanced Signal Processing Algorithms, Architectures, and Implementations III
Franklin T. Luk, Editor(s)

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