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Proceedings Paper

Applying wavelet analysis to speech segmentation and classification
Author(s): Beng Tiong Tan; Robert Lang; Heiko Schroder; Andrew Spray; Phillip Dermody
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Paper Abstract

We propose the design of a hearing aid based on the wavelet transform. The fast wavelet transform is used to decompose speech into different frequency components. This paper presents the difficulties in the use of wavelet transforms for speech processing and shows how the careful selection of wavelet coefficients can enable the four major categories of speech - voiced speech, plosives, fricatives, and silence - to be identified. With knowledge of these four categories, it is shown how speech can be easily and effectively segmented.

Paper Details

Date Published: 15 March 1994
PDF: 12 pages
Proc. SPIE 2242, Wavelet Applications, (15 March 1994); doi: 10.1117/12.170075
Show Author Affiliations
Beng Tiong Tan, Univ. of Newcastle (Australia)
Robert Lang, Univ. of Newcastle (Australia)
Heiko Schroder, Univ. of Newcastle (Australia)
Andrew Spray, Univ. of Newcastle (Australia)
Phillip Dermody, National Acoustics Labs. (Australia)


Published in SPIE Proceedings Vol. 2242:
Wavelet Applications
Harold H. Szu, Editor(s)

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