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Information Systems Design and Intelligent Applications pp 209–226Cite as

A Study on Speech Processing

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 435))

Abstract

Speech is the most natural means of communication in human-to-human interactions. Automatic Speech Recognition (ASR) is the application of technology in developing machines that can autonomously transcribe a speech into a text in the real-time. This paper presents a short review of ASR systems. Fundamentally, the design of speech recognition system involves three major processes such as feature extraction, acoustic modeling and classification. Consequently, emphasis is laid on describing essential principles of the various techniques employed in each of these processes. On the other hand, it also presents the milestones in the speech processing research to date.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, JNTUH College of Engineering, Hyderabad, India

    J. Ujwala Rekha & A. Vinaya Babu

  2. Department of Computer Science and Engineering, JNTUH College of Engineering, Jagtial, India

    K. Shahu Chatrapati

Authors
  1. J. Ujwala Rekha
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  2. K. Shahu Chatrapati
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  3. A. Vinaya Babu
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Corresponding author

Correspondence to J. Ujwala Rekha .

Editor information

Editors and Affiliations

  1. Department of Computer Science Engineering, Anil Neerukonda Institute of Technology and Sciences, Visakhapatnam, India

    Suresh Chandra Satapathy

  2. Kalyani University, Nadia, West Bengal, India

    Jyotsna Kumar Mandal

  3. University of Hyderabad, Hyderabad, India

    Siba K. Udgata

  4. Department of Electronics and Communication Engineering, Shri Ramswaroop Memorial Group of Professional Colleges, Lucknow, Uttar Pradesh, India

    Vikrant Bhateja

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Ujwala Rekha, J., Shahu Chatrapati, K., Vinaya Babu, A. (2016). A Study on Speech Processing. In: Satapathy, S., Mandal, J., Udgata, S., Bhateja, V. (eds) Information Systems Design and Intelligent Applications. Advances in Intelligent Systems and Computing, vol 435. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2757-1_22

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  • DOI: https://doi.org/10.1007/978-81-322-2757-1_22

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