A Conceptual Framework for Noise Reduction

  • Jacob Benesty
  • Jingdong Chen

Part of the SpringerBriefs in Electrical and Computer Engineering book series (BRIEFSELECTRIC)

Table of contents

  1. Front Matter
    Pages i-viii
  2. Jacob Benesty, Jingdong Chen
    Pages 1-2
  3. Jacob Benesty, Jingdong Chen
    Pages 3-13
  4. Jacob Benesty, Jingdong Chen
    Pages 15-30
  5. Jacob Benesty, Jingdong Chen
    Pages 51-65
  6. Jacob Benesty, Jingdong Chen
    Pages 67-86
  7. Back Matter
    Pages 87-89

About this book

Introduction

Though noise reduction and speech enhancement problems have been studied for at least five decades, advances in our understanding and the development of reliable algorithms are more important than ever, as they support the design of tailored solutions for clearly defined applications. In this work, the authors propose a conceptual framework that can be applied to the many different aspects of noise reduction, offering a uniform approach
to monaural and binaural noise reduction problems, in the time domain and in the frequency domain, and involving a single or multiple microphones. Moreover, the derivation of optimal filters is simplified, as are the performance measures used for their evaluation.

Keywords

Binaural Microphone Arrays Multichannel Optimal Filters STFT Domain Single-channel Speech Distortion Index Speech Enhancement Speech Intelligibility Index Time Domain

Authors and affiliations

  • Jacob Benesty
    • 1
  • Jingdong Chen
    • 2
  1. 1.INRS-EMT, University of QuebecMontrealCanada
  2. 2.Northwestern Polytechnical UniversityXi’anChina

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-12955-6
  • Copyright Information The Author(s) 2015
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-12954-9
  • Online ISBN 978-3-319-12955-6
  • Series Print ISSN 2191-8112
  • Series Online ISSN 2191-8120
  • About this book