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Feature Extraction

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Audio Processing and Speech Recognition

Part of the book series: SpringerBriefs in Applied Sciences and Technology ((BRIEFSINTELL))

Abstract

In order to classify any audio or speech signal, feature extraction is the prerequisite. The analog speech signal s(t) is sampled a number of times per second to be stored in some recording device or simply on a computer.

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Authors and Affiliations

  1. A.K. Choudhury School of Information Technology, University of Calcutta, Kolkata, West Bengal, India

    Soumya Sen

  2. Department of Information Technology, Techno India College of Technology, Kolkata, West Bengal, India

    Anjan Dutta

  3. Department of Information Technology, Techno India College of Technology, Kolkata, West Bengal, India

    Nilanjan Dey

Authors
  1. Soumya Sen
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  2. Anjan Dutta
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  3. Nilanjan Dey
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Sen, S., Dutta, A., Dey, N. (2019). Feature Extraction. In: Audio Processing and Speech Recognition. SpringerBriefs in Applied Sciences and Technology(). Springer, Singapore. https://doi.org/10.1007/978-981-13-6098-5_3

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  • DOI: https://doi.org/10.1007/978-981-13-6098-5_3

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  • Online ISBN: 978-981-13-6098-5

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