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Application of Wavelets in Speech ProcessingSpectral Analysis of Speech Signal and Pitch Estimation

Application of Wavelets in Speech Processing: Spectral Analysis of Speech Signal and Pitch... [Wavelet transform (WT) provides a way to explore the characteristics of nonstationary speech signals. Both time and frequency analysis can be conducted by WT. The tree structure of WP analysis can be customized to the critical bands of human hearing giving better spectral estimation for speech signal than other methods. Wavelet-based pitch estimation assumes that the glottis closures are correlated with the maxima in the adjacent scales of the WT. This approach ensures more accurate estimation of pitch period.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Application of Wavelets in Speech ProcessingSpectral Analysis of Speech Signal and Pitch Estimation

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References (21)

Publisher
Springer International Publishing
Copyright
© The Author(s) 2014
ISBN
978-3-319-02731-9
Pages
37 –39
DOI
10.1007/978-3-319-02732-6_9
Publisher site
See Chapter on Publisher Site

Abstract

[Wavelet transform (WT) provides a way to explore the characteristics of nonstationary speech signals. Both time and frequency analysis can be conducted by WT. The tree structure of WP analysis can be customized to the critical bands of human hearing giving better spectral estimation for speech signal than other methods. Wavelet-based pitch estimation assumes that the glottis closures are correlated with the maxima in the adjacent scales of the WT. This approach ensures more accurate estimation of pitch period.]

Published: Dec 10, 2013

Keywords: Wavelet analysis; Spectral analysis; Pitch estimation; Pitch detection; Fundamental frequency estimation

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