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Application of Wavelets in Speech ProcessingWavelets, Wavelet Filters, and Wavelet Transforms

Application of Wavelets in Speech Processing: Wavelets, Wavelet Filters, and Wavelet Transforms [Spectral characteristics of speech are known to be particularly useful in describing a speech signal such that it can be efficiently reconstructed after coding or identified for recognition. Wavelets are considered one of such efficient methods for representing the spectrum of speech signals. Wavelets are used to model both production and perception processes of speech. Wavelet-based features prove a success in a widespread area of practical applications in the speech processing realm.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Application of Wavelets in Speech ProcessingWavelets, Wavelet Filters, and Wavelet Transforms

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Publisher
Springer International Publishing
Copyright
© The Author(s) 2014
ISBN
978-3-319-02731-9
Pages
11 –19
DOI
10.1007/978-3-319-02732-6_3
Publisher site
See Chapter on Publisher Site

Abstract

[Spectral characteristics of speech are known to be particularly useful in describing a speech signal such that it can be efficiently reconstructed after coding or identified for recognition. Wavelets are considered one of such efficient methods for representing the spectrum of speech signals. Wavelets are used to model both production and perception processes of speech. Wavelet-based features prove a success in a widespread area of practical applications in the speech processing realm.]

Published: Dec 10, 2013

Keywords: Wavelet transform; Wavelet family; Wavelet filter; Multiresolution decomposition; Time–frequency analysis

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