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A Conceptual Framework for Noise Reduction

  • Book
  • © 2015

Overview

Authors:
  1. Jacob Benesty

    1. INRS-EMT, University of Quebec, Montreal, Canada

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    You can also search for this author in PubMed   Google Scholar

  2. Jingdong Chen

    1. Northwestern Polytechnical University, Xi’an, China

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    You can also search for this author in PubMed   Google Scholar

  • Proposes a conceptual framework that can be applied to the many different aspects of noise reduction
  • Includes supplementary material: sn.pub/extras

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

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Table of contents (6 chapters)

  1. Front Matter

    Pages i-viii
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  2. Introduction

    • Jacob Benesty, Jingdong Chen
    Pages 1-2

  3. Conceptual Framework

    • Jacob Benesty, Jingdong Chen
    Pages 3-13

  4. Single-Channel Noise Reduction in the Time Domain

    • Jacob Benesty, Jingdong Chen
    Pages 15-30

  5. Single-Channel Noise Reduction in the STFT Domain with Interframe Correlation

    • Jacob Benesty, Jingdong Chen
    Pages 31-50

  6. Binaural Noise Reduction in the Time Domain

    • Jacob Benesty, Jingdong Chen
    Pages 51-65

  7. Multichannel Noise Reduction in the STFT Domain

    • Jacob Benesty, Jingdong Chen
    Pages 67-86

  8. Back Matter

    Pages 87-89
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Keywords

About this book

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.

Reviews

“This brief is intended to provide a solid understanding of the noise reduction problem, with a focus on speech processing, in order to design a well-targeted solution for a well-defined application. … References are provided at the end of each chapter and point the reader to contemporary research as well as foundational studies in each area. … Excellent formulae, charts and graphs are provided throughout the text, with many in full color.” (Chuck H. Perala, Noise Control Engineering Journal, Vol. 64 (5), September-October, 2016)

Authors and Affiliations

  • INRS-EMT, University of Quebec, Montreal, Canada

    Jacob Benesty

  • Northwestern Polytechnical University, Xi’an, China

    Jingdong Chen

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