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Application of Wavelets in Speech Processing pp 35–40Cite as

Speech Enhancement and Noise Suppression

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Abstract

Wavelet analysis has been widely used for noise suppression in signals. The multiresolution properties of wavelets reflect the frequency resolution of the human ear. Therefore, 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. Department of Engineering, Math and Physics, Cairo University, Faculty of Engineering, Giza, Egypt

    Mohamed Hesham Farouk

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  1. Mohamed Hesham Farouk
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Farouk, M.H. (2018). Speech Enhancement and Noise Suppression. In: Application of Wavelets in Speech Processing. SpringerBriefs in Electrical and Computer Engineering(). Springer, Cham. https://doi.org/10.1007/978-3-319-69002-5_6

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  • DOI: https://doi.org/10.1007/978-3-319-69002-5_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-69001-8

  • Online ISBN: 978-3-319-69002-5

  • eBook Packages: EngineeringEngineering (R0)

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