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Clinical Diagnosis and Assessment of Speech Pathology

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Application of Wavelets in Speech Processing

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

Abstract

WT coefficients of normal voice signal have a remarkable difference compared to pathological one. This difference is distributed overall the speech frequency bands with different resolutions. Accordingly, WT is successfully used as a noninvasive method to diagnose vocal pathologies.

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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). Clinical Diagnosis and Assessment of Speech Pathology. 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_14

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  • DOI: https://doi.org/10.1007/978-3-319-69002-5_14

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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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