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Spectral Analysis of Speech Signal and Pitch Estimation

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Book cover Application of Wavelets in Speech Processing

Part of the book series: SpringerBriefs in Electrical and Computer Engineering ((BRIEFSSPEECHTECH))

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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.

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Authors and Affiliations

  1. Engineering Mathematics and Physics Department, Cairo University, Cairo, Egypt

    Mohamed Hesham Farouk

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  1. Mohamed Hesham Farouk
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Correspondence to Mohamed Hesham Farouk .

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Farouk, M.H. (2014). Spectral Analysis of Speech Signal and Pitch Estimation. In: Application of Wavelets in Speech Processing. SpringerBriefs in Electrical and Computer Engineering(). Springer, Cham. https://doi.org/10.1007/978-3-319-02732-6_9

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  • DOI: https://doi.org/10.1007/978-3-319-02732-6_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-02731-9

  • Online ISBN: 978-3-319-02732-6

  • eBook Packages: EngineeringEngineering (R0)

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