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Application of Wavelets in Speech ProcessingSpeech Enhancement and Noise Suppression

Application of Wavelets in Speech Processing: Speech Enhancement and Noise Suppression [Wavelet analysis has been widely used for noise suppression in signals. The multiresolution properties of wavelet analysis reflect the frequency resolution of the human ear. The wavelet transform (WT) can be adapted to distinguish noise in speech through its properties in the time and frequency domains.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Application of Wavelets in Speech ProcessingSpeech Enhancement and Noise Suppression

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Publisher
Springer International Publishing
Copyright
© The Author(s) 2014
ISBN
978-3-319-02731-9
Pages
21 –24
DOI
10.1007/978-3-319-02732-6_4
Publisher site
See Chapter on Publisher Site

Abstract

[Wavelet analysis has been widely used for noise suppression in signals. The multiresolution properties of wavelet analysis reflect the frequency resolution of the human ear. The wavelet transform (WT) can be adapted to distinguish noise in speech through its properties in the time and frequency domains.]

Published: Dec 10, 2013

Keywords: Speech enhancement; Wavelet thresholding; Wavelet denoising

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