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  • © 2018

Application of Wavelets in Speech Processing

  • Fully updated edition provides the latest advances in the application of wavelets in speech technology
  • Features updated information on Spectral Analysis of Speech Signal and Pitch Estimation; Speech Coding, Synthesis, and Compression; and Speech Detection and Separation
  • New sections are added to discuss the application of wavelets analysis in forensics
  • The new edition also presents a new chapter on scalogram analysis of speech

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

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Table of contents (14 chapters)

  1. Front Matter

    Pages i-xiv
  2. Introduction

    • Mohamed Hesham Farouk
    Pages 1-4
  3. Speech Production and Perception

    • Mohamed Hesham Farouk
    Pages 5-10
  4. Wavelets, Wavelet Filters, and Wavelet Transforms

    • Mohamed Hesham Farouk
    Pages 11-21
  5. Speech Detection and Separation

    • Mohamed Hesham Farouk
    Pages 29-33
  6. Speech Enhancement and Noise Suppression

    • Mohamed Hesham Farouk
    Pages 35-40
  7. Speech Recognition

    • Mohamed Hesham Farouk
    Pages 41-46
  8. Speaker Identification

    • Mohamed Hesham Farouk
    Pages 47-50
  9. Emotion Recognition from Speech

    • Mohamed Hesham Farouk
    Pages 51-55
  10. Speech Coding, Synthesis, and Compression

    • Mohamed Hesham Farouk
    Pages 57-60
  11. Speech Quality Assessment

    • Mohamed Hesham Farouk
    Pages 61-64
  12. Scalogram and Nonlinear Analysis of Speech

    • Mohamed Hesham Farouk
    Pages 65-70
  13. Clinical Diagnosis and Assessment of Speech Pathology

    • Mohamed Hesham Farouk
    Pages 77-80
  14. Back Matter

    Pages 81-86

About this book

This new edition provides an updated and enhanced survey on employing wavelets analysis in an array of applications of speech processing. The author presents updated developments in topics such as; speech enhancement, noise suppression, spectral analysis of speech signal, speech quality assessment, speech recognition, forensics by Speech, and emotion recognition from speech. The new edition also features  a new chapter on scalogram analysis of speech.

Moreover, in this edition, each chapter is restructured as such; that it becomes self contained, and can be read separately. Each chapter surveys the literature in a topic such that the use of wavelets in the work is explained and experimental results of proposed method are then discussed. Illustrative figures are also added to explain the methodology of each work.

Authors and Affiliations

  • Department of Engineering, Math and Physics, Cairo University, Faculty of Engineering, Giza, Egypt

    Mohamed Hesham Farouk

About the author

Mohamed Hesham Farouk El-Sayed is a full professor with the Engineering Math & Physics Department within the Faculty of Engineering at Cairo University. He obtained his B.Sc. in electronics and telecommunications engineering with honors on 1982, another B.Sc. in physics on 1985 and M.Sc. in engineering physics on 1989 all from Cairo university. He received his Ph.D. in Engineering Physics from Cairo University on 1993. He is the author and coauthor of several published papers on the application of wavelets in the analysis of speech and on modeling of speech production in reputable periodicals and conferences since 1993. He is also the author of Application of Wavelets in Speech Processing (Springer 2014). M. Hesham has been actively involved in several national R&D projects on speech recognition since 1982.

Bibliographic Information

Buy it now

Buying options

eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access