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Speech Processing in Mobile Environments

  • Book
  • © 2014

Overview

Authors:
  1. K. Sreenivasa Rao

    1. Indian Institute of Technology Kharagpur, West Bengal, India

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  2. Anil Kumar Vuppala

    1. International Institute of Information Technology Hyderabad, Gachibowli, India

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    You can also search for this author in PubMed   Google Scholar

  • Discusses signal processing methods to accurately determine the crucial speech events
  • Examines methods to determine the important speech features in the presence of low-bit coding
  • Covers design of appropriate hybrid models to improve the recognition accuracy of CV units in presence of coding
  • Includes supplementary material: sn.pub/extras

Part of the book series: SpringerBriefs in Speech Technology (BRIEFSSPEECHTECH)

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Table of contents (7 chapters)

  1. Front Matter

    Pages i-xii
    Download chapter PDF

  2. Introduction

    • K. Sreenivasa Rao, Anil Kumar Vuppala
    Pages 1-3

  3. Background and Literature Review

    • K. Sreenivasa Rao, Anil Kumar Vuppala
    Pages 5-15

  4. Vowel Onset Point Detection from Coded and Noisy Speech

    • K. Sreenivasa Rao, Anil Kumar Vuppala
    Pages 17-42

  5. Consonant–Vowel Recognition in the Presence of Coding and Background Noise

    • K. Sreenivasa Rao, Anil Kumar Vuppala
    Pages 43-63

  6. Spotting and Recognition of Consonant–Vowel Units from Continuous Speech

    • K. Sreenivasa Rao, Anil Kumar Vuppala
    Pages 65-76

  7. Speaker Identification and Time Scale Modification Using VOPs

    • K. Sreenivasa Rao, Anil Kumar Vuppala
    Pages 77-95

  8. Summary and Conclusions

    • K. Sreenivasa Rao, Anil Kumar Vuppala
    Pages 97-101

  9. Back Matter

    Pages 103-121
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Keywords

About this book

This book focuses on speech processing in the presence of low-bit rate coding and varying background environments. The methods presented in the book exploit the speech events which are robust in noisy environments. Accurate estimation of these crucial events will be useful for carrying out various speech tasks such as speech recognition, speaker recognition and speech rate modification in mobile environments. The authors provide insights into designing and developing robust methods to process the speech in mobile environments. Covering temporal and spectral enhancement methods to minimize the effect of noise and examining methods and models on speech and speaker recognition applications in mobile environments.

Reviews

From the book reviews:

“The authors provide comprehensive coverage of major speech processing techniques. … The book is written in simple English and is easy to read. Students and researchers working in speech processing will find it useful.” (S. Ramakrishnan, Computing Reviews, August, 2014)

“This book is based on Vuppala’s PhD thesis … . It is indeed a commendable exercise to place details of a research work before a wider audience. … Research scholars working in the domains of signal processing, speech, and speaker recognition systems will find this book very useful.” (C. K. Raju, Computing Reviews, May, 2014)

Authors and Affiliations

  • Indian Institute of Technology Kharagpur, West Bengal, India

    K. Sreenivasa Rao

  • International Institute of Information Technology Hyderabad, Gachibowli, India

    Anil Kumar Vuppala

About the authors

K. Sreenivasa Rao, PhD is an Associate Professor, School of Information Technology, Indian Institute of Technology Kharagpur (IIT Kharagpur), Anil Kumar Vuppala, PhD is an Assistant Professor at the International Institute of Information Technology, Hyderabad (IIIT Hyderabad).

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