Noise Reduction in Speech Processing

  • Israel Cohen
  • Yiteng Huang
  • Jingdong Chen
  • Jacob Benesty

Part of the Springer Topics in Signal Processing book series (STSP, volume 2)

Table of contents

  1. Front Matter
    Pages 1-10
  2. Jacob Benesty, Jingdong Chen, Yiteng Huang, Israel Cohen
    Pages 1-13
  3. Jacob Benesty, Jingdong Chen, Yiteng Huang, Israel Cohen
    Pages 1-6
  4. Jacob Benesty, Jingdong Chen, Yiteng Huang, Israel Cohen
    Pages 1-9
  5. Jacob Benesty, Jingdong Chen, Yiteng Huang, Israel Cohen
    Pages 1-6
  6. Jacob Benesty, Jingdong Chen, Yiteng Huang, Israel Cohen
    Pages 1-4
  7. Jacob Benesty, Jingdong Chen, Yiteng Huang, Israel Cohen
    Pages 1-17
  8. Jacob Benesty, Jingdong Chen, Yiteng Huang, Israel Cohen
    Pages 1-18
  9. Jacob Benesty, Jingdong Chen, Yiteng Huang, Israel Cohen
    Pages 1-18
  10. Jacob Benesty, Jingdong Chen, Yiteng Huang, Israel Cohen
    Pages 1-27
  11. Jacob Benesty, Jingdong Chen, Yiteng Huang, Israel Cohen
    Pages 1-30
  12. Jacob Benesty, Jingdong Chen, Yiteng Huang, Israel Cohen
    Pages 1-30
  13. Jacob Benesty, Jingdong Chen, Yiteng Huang, Israel Cohen
    Pages 1-36
  14. Back Matter
    Pages 1-11

About this book

Introduction

Noise is everywhere and in most applications that are related to audio and speech, such as human-machine interfaces, hands-free communications, voice over IP (VoIP), hearing aids, teleconferencing/telepresence/telecollaboration systems, and so many others, the signal of interest (usually speech) that is picked up by a microphone is generally contaminated by noise. As a result, the microphone signal has to be cleaned up with digital signal processing tools before it is stored, analyzed, transmitted, or played out. This cleaning process is often called noise reduction and this topic has attracted a considerable amount of research and engineering attention for several decades. One of the objectives of this book is to present in a common framework an overview of the state of the art of noise reduction algorithms in the single-channel (one microphone) case. The focus is on the most useful approaches, i.e., filtering techniques (in different domains) and spectral enhancement methods. The other objective of Noise Reduction in Speech Processing is to derive all these well-known techniques in a rigorous way and prove many fundamental and intuitive results often taken for granted.

This book is especially written for graduate students and research engineers who work on noise reduction for speech and audio applications and want to understand the subtle mechanisms behind each approach. Many new and interesting concepts are presented in this text that we hope the readers will find useful and inspiring.

Keywords

DSP Interface Microphone Arrays Noise Reduction Optimal Filtering Spectral Enhancement Speech Enhancement algorithms collaboration digital signal processing filtering signal processing speech processing

Authors and affiliations

  • Israel Cohen
  • Yiteng Huang
  • Jingdong Chen
  • Jacob Benesty

There are no affiliations available

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-00296-0
  • Copyright Information Springer-Verlag Berlin Heidelberg 2009
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-00295-3
  • Online ISBN 978-3-642-00296-0
  • Series Print ISSN 1866-2609
  • Series Online ISSN 1866-2617
  • About this book