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Application of Wavelets in Speech ProcessingSpeech Recognition

Application of Wavelets in Speech Processing: Speech Recognition [Wavelet analysis can be used to improve the speech recognition performance through two approaches. In the first approach, it can be used as the back-end to remove noise and consequently the recognition process may perform better. In the second approach, wavelet-based features can be added to other successful features to improve recognition performance.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Application of Wavelets in Speech ProcessingSpeech Recognition

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Publisher
Springer International Publishing
Copyright
© The Author(s) 2014
ISBN
978-3-319-02731-9
Pages
27 –29
DOI
10.1007/978-3-319-02732-6_6
Publisher site
See Chapter on Publisher Site

Abstract

[Wavelet analysis can be used to improve the speech recognition performance through two approaches. In the first approach, it can be used as the back-end to remove noise and consequently the recognition process may perform better. In the second approach, wavelet-based features can be added to other successful features to improve recognition performance.]

Published: Dec 10, 2013

Keywords: Multiresolution auditory model; Wavelet packet analysis; Bark-scale features; Speech recognition

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