Applying wavelet analysis to speech segmentation and classification

Beng Tiong Tan; Robert Lang; Heiko Schroder; Andrew Spray; Phillip Dermody

doi:10.1117/12.170075

15 March 1994 Applying wavelet analysis to speech segmentation and classification

Beng Tiong Tan, Robert Lang, Heiko Schroder, Andrew Spray, Phillip Dermody

Proceedings Volume 2242, Wavelet Applications; (1994) https://doi.org/10.1117/12.170075
Event: SPIE's International Symposium on Optical Engineering and Photonics in Aerospace Sensing, 1994, Orlando, FL, United States

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.

Citation Download Citation

Beng Tiong Tan, Robert Lang, Heiko Schroder, Andrew Spray, and Phillip Dermody "Applying wavelet analysis to speech segmentation and classification", Proc. SPIE 2242, Wavelet Applications, (15 March 1994); https://doi.org/10.1117/12.170075

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