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Speech Enhancement and Noise Suppression

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Application of Wavelets in Speech Processing

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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.

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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). Speech Enhancement and Noise Suppression. 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_4

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  • DOI: https://doi.org/10.1007/978-3-319-02732-6_4

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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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