Speech and Audio Processing for Coding, Enhancement and Recognition

  • Tokunbo Ogunfunmi
  • Roberto Togneri
  • Madihally (Sim) Narasimha

Table of contents

  1. Front Matter
    Pages i-x
  2. Overview of Speech and Audio Coding

    1. Front Matter
      Pages 1-1
    2. Jerry D. Gibson
      Pages 19-39
    3. Daniel J. Sinder, Imre Varga, Venkatesh Krishnan, Vivek Rajendran, Stéphane Villette
      Pages 75-109
  3. Review and Challenges in Speech, Speaker and Emotion Recognition

    1. Front Matter
      Pages 111-111
    2. Yunxin Zhao, Jian Xue, Xin Chen
      Pages 113-152
    3. Vidhyasaharan Sethu, Julien Epps, Eliathamby Ambikairajah
      Pages 197-228
    4. Trung Hieu Nguyen, Eng Siong Chng, Haizhou Li
      Pages 229-277
  4. Current Trends in Speech Enhancement

    1. Front Matter
      Pages 279-279
    2. Yasuaki Iwata, Tomohiro Nakatani, Takuya Yoshioka, Masakiyo Fujimoto, Hirofumi Saito
      Pages 281-317
    3. Kuldip Paliwal, Belinda Schwerin
      Pages 319-345

About this book


This book describes the basic principles underlying the generation, coding, transmission and enhancement of speech and audio signals, including advanced statistical and machine learning techniques for speech and speaker recognition with an overview of the key innovations in these areas. Key research undertaken in speech coding, speech enhancement, speech recognition, emotion recognition and speaker diarization are also presented, along with recent advances and new paradigms in these areas.

·         Offers readers a single-source reference on the significant applications of speech and audio processing to speech coding, speech enhancement and speech/speaker recognition. Enables readers involved in algorithm development and implementation issues for speech coding to understand the historical development and future challenges in speech coding research;

·         Discusses speech coding methods yielding bit-streams that are multi-rate and scalable for Voice-over-IP (VoIP) Networks;

·         Presents an overview of recent developments in conversational speech coding technologies, important new algorithmic advances, and recent standardization activities in ITU-T, 3GPP, 3GPP2, MPEG and IETF that offer a significantly improved user experience during voice calls on existing and future communication systems;

·         Presents an overview of ensemble learning efforts based on different machine learning techniques that have emerged in automatic speech recognition in recent years;

·         Emphasizes signal processing for efficient time-domain and spectral-domain representations, reduction of noise, channel and session variabilities, extraction of temporal and spectral features for recognition and modeling;

·         Informs readers of the latest research and developments in advanced statistical estimation and deep neural networks for speech recognition;

·         Presents readers with the architectural framework and key approaches involved in the “hot” research areas of emotion recognition and speaker diairization systems;

·         Provides readers with a more enriching view of state of the art research in speech enhancement arising from novel multi-microphone and time-frequency solutions.


Audio Coding Audio Processing Speaker Recognition Speech Coding Speech Enhancement Speech Noise Reduction Speech Processing Speech Recognition

Editors and affiliations

  • Tokunbo Ogunfunmi
    • 1
  • Roberto Togneri
    • 2
  • Madihally (Sim) Narasimha
    • 3
  1. 1.Dept. of Electrical EngineeringSanta Clara UniversitySanta ClaraUSA
  2. 2.School of EE&C EngineeringThe University of Western AustraliaCrawleyAustralia
  3. 3.Qualcomm Inc.Santa ClaraUSA

Bibliographic information

  • DOI
  • Copyright Information Springer Science+Business Media New York 2015
  • Publisher Name Springer, New York, NY
  • eBook Packages Engineering
  • Print ISBN 978-1-4939-1455-5
  • Online ISBN 978-1-4939-1456-2
  • Buy this book on publisher's site