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Signal Enhancement with Variable Span Linear Filters

  • Jacob Benesty
  • Mads G. Christensen
  • Jesper R. Jensen

Part of the Springer Topics in Signal Processing book series (STSP, volume 7)

Table of contents

  1. Front Matter
    Pages i-ix
  2. Jacob Benesty, Mads G. Christensen, Jesper R. Jensen
    Pages 1-6
  3. Jacob Benesty, Mads G. Christensen, Jesper R. Jensen
    Pages 7-24
  4. Jacob Benesty, Mads G. Christensen, Jesper R. Jensen
    Pages 25-39
  5. Jacob Benesty, Mads G. Christensen, Jesper R. Jensen
    Pages 41-74
  6. Jacob Benesty, Mads G. Christensen, Jesper R. Jensen
    Pages 75-113
  7. Jacob Benesty, Mads G. Christensen, Jesper R. Jensen
    Pages 115-147
  8. Jacob Benesty, Mads G. Christensen, Jesper R. Jensen
    Pages 149-163
  9. Back Matter
    Pages 165-172

About this book

Introduction

This book introduces readers to the novel concept of variable span speech enhancement filters, and demonstrates how it can be used for effective noise reduction in various ways. Further, the book provides the accompanying Matlab code, allowing readers to easily implement the main ideas discussed. Variable span filters combine the ideas of optimal linear filters with those of subspace methods, as they involve the joint diagonalization of the correlation matrices of the desired signal and the noise. The book shows how some well-known filter designs, e.g. the minimum distortion, maximum signal-to-noise ratio, Wiener, and tradeoff filters (including their new generalizations) can be obtained using the variable span filter framework. It then illustrates how the variable span filters can be applied in various contexts, namely in single-channel STFT-based enhancement, in multichannel enhancement in both the time and STFT domains, and, lastly, in time-domain binaural enhancement. In these contexts, the properties of these filters are analyzed in terms of their noise reduction capabilities and desired signal distortion, and the analyses are validated and further explored in simulations.

Keywords

Noise Reduction Optimal Linear Filter Sensor Arrays Signal Enhancement Speech Enhancement Variable Span Filter

Authors and affiliations

  • Jacob Benesty
    • 1
  • Mads G. Christensen
    • 2
  • Jesper R. Jensen
    • 3
  1. 1.INRS-EMTUniversity of QuebecQuebecCanada
  2. 2.Aalborg UniversityAalborgDenmark
  3. 3.Aalborg UniversityAalborgDenmark

Bibliographic information

  • DOI https://doi.org/10.1007/978-981-287-739-0
  • Copyright Information Springer Science+Business Media Singapore 2016
  • Publisher Name Springer, Singapore
  • eBook Packages Engineering
  • Print ISBN 978-981-287-738-3
  • Online ISBN 978-981-287-739-0
  • Series Print ISSN 1866-2609
  • Series Online ISSN 1866-2617
  • Buy this book on publisher's site