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Soft Computing in Acoustics

Applications of Neural Networks, Fuzzy Logic and Rough Sets to Musical Acoustics

  • Boz̊ena Kostek

Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 31)

Table of contents

  1. Front Matter
    Pages i-xv
  2. Boz̊ena Kostek
    Pages 1-4
  3. Boz̊ena Kostek
    Pages 25-95
  4. Boz̊ena Kostek
    Pages 135-163
  5. Boz̊ena Kostek
    Pages 165-206
  6. Boz̊ena Kostek
    Pages 207-226
  7. Boz̊ena Kostek
    Pages 227-230
  8. Boz̊ena Kostek
    Pages 231-243
  9. Back Matter
    Pages 244-244

About this book

Introduction

Applications of some selected soft computing methods to acoustics and sound engineering are presented in this book. The aim of this research study is the implementation of soft computing methods to musical signal analysis and to the recognition of musical sounds and phrases. Accordingly, some methods based on such learning algorithms as neural networks, rough sets and fuzzy-logic were conceived, implemented and tested. Additionally, the above-mentioned methods were applied to the analysis and verification of subjective testing results. The last problem discussed within the framework of this book was the problem of fuzzy control of the classical pipe organ instrument.
The obtained results show that computational intelligence and soft computing may be used for solving some vital problems in both musical and architectural acoustics.

Keywords

Acoustics Soft Computing Sound Engineering algorithms fuzzy logic fuzzy set learning algorithm neural networks

Authors and affiliations

  • Boz̊ena Kostek
    • 1
  1. 1.Sound Engineering Department, Faculty of Electronics, Telecommunications & InformaticsTechnical University of GdańskGdańskPoland

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-7908-1875-8
  • Copyright Information Physica-Verlag Heidelberg 1999
  • Publisher Name Physica, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-662-13005-6
  • Online ISBN 978-3-7908-1875-8
  • Series Print ISSN 1434-9922
  • Series Online ISSN 1860-0808
  • Buy this book on publisher's site
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