Paper
30 November 1992 Comparison of time-frequency signal analysis techniques with application to speech recognition
Andrew P. Reilly, Boualem Boashash
Author Affiliations +
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.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Andrew P. Reilly and Boualem Boashash "Comparison of time-frequency signal analysis techniques with application to speech recognition", Proc. SPIE 1770, Advanced Signal Processing Algorithms, Architectures, and Implementations III, (30 November 1992); https://doi.org/10.1117/12.130941
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Autoregressive models

Time-frequency analysis

Fourier transforms

Speech recognition

Statistical analysis

Signal analysis

Data processing

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