15 March 1994 Applying wavelet analysis to speech segmentation and classification
Author Affiliations +
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.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Beng Tiong Tan, Beng Tiong Tan, Robert Lang, Robert Lang, Heiko Schroder, Heiko Schroder, Andrew Spray, Andrew Spray, Phillip Dermody, Phillip Dermody, } "Applying wavelet analysis to speech segmentation and classification", Proc. SPIE 2242, Wavelet Applications, (15 March 1994); doi: 10.1117/12.170075; https://doi.org/10.1117/12.170075

Back to Top