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Emotion Recognition from Speech

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Application of Wavelets in Speech Processing

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

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Abstract

Like ASR, emotion recognition can benefit from the merits of wavelet analysis. Similar methodologies may be followed based on WT similar to that used in speech recognition. Mainly, it is realized in literatures that WP parameters are responsive to emotions. Also, many results prove that wavelet-based features improve emotion recognition.

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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). Emotion Recognition from Speech. 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_9

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  • DOI: https://doi.org/10.1007/978-3-319-69002-5_9

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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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