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Ultra Low Bit-Rate Speech Coding

  • V. Ramasubramanian
  • Harish Doddala

Part of the SpringerBriefs in Electrical and Computer Engineering book series

Also part of the SpringerBriefs in Speech Technology book sub series (BRIEFSSPEECHTECH)

Table of contents

  1. Front Matter
    Pages i-vii
  2. V. Ramasubramanian, Harish Doddala
    Pages 1-26
  3. V. Ramasubramanian, Harish Doddala
    Pages 27-77
  4. V. Ramasubramanian, Harish Doddala
    Pages 79-90
  5. V. Ramasubramanian, Harish Doddala
    Pages 91-107
  6. V. Ramasubramanian, Harish Doddala
    Pages 109-123
  7. V. Ramasubramanian, Harish Doddala
    Pages 125-143
  8. Back Matter
    Pages 145-152

About this book

Introduction

"Ultra Low Bit-Rate Speech Coding" focuses on the specialized topic of speech coding at very low bit-rates of 1 Kbits/sec and less, particularly at the lower ends of this range, down to 100 bps. The authors set forth the fundamental results and trends that form the basis for such ultra low bit-rates to be viable and provide a comprehensive overview of various techniques and systems in literature to date, with particular attention to their work in the paradigm of unit-selection based segment quantization.

The book is for research students, academic faculty and researchers, and industry practitioners in the areas of speech processing and speech coding.

Keywords

Joint spectral-residual quantization Recognition-synthesis paradigms Segment quantization Segment vocoders Speech coding Sub-1Kbits/s coders Sub-2.4 kbits/s coders Ultra-low bit-rate coders Unit-selection paradigm Vocoders Waveform coders

Authors and affiliations

  • V. Ramasubramanian
    • 1
  • Harish Doddala
    • 2
  1. 1.PES Institute of Technology - Bangalore South CampusBangaloreIndia
  2. 2.OracleRedwood ShoresUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4939-1341-1
  • Copyright Information The Author 2015
  • Publisher Name Springer, New York, NY
  • eBook Packages Engineering
  • Print ISBN 978-1-4939-1340-4
  • Online ISBN 978-1-4939-1341-1
  • Series Print ISSN 2191-8112
  • Series Online ISSN 2191-8120
  • Buy this book on publisher's site