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Soft Computing in Acoustics

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

  • Book
  • © 1999

Overview

Authors:
  1. Boz̊ena Kostek

    1. Sound Engineering Department, Faculty of Electronics, Telecommunications & Informatics, Technical University of Gdańsk, Gdańsk, Poland

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  • Presents ideas how to unify various discipline approaches by means of experiments and applications

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

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Table of contents (9 chapters)

  1. Front Matter

    Pages i-xv
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  2. Introduction

    • Boz̊ena Kostek
    Pages 1-4

  3. Some Selected Soft Computing Tools and Techniques

    • Boz̊ena Kostek
    Pages 5-23

  4. Preprocessing of Acoustical Data

    • Boz̊ena Kostek
    Pages 25-95

  5. Automatic Classification of Musical Instrument Sounds

    • Boz̊ena Kostek
    Pages 97-134

  6. Automatic Recognition of Musical Phrases

    • Boz̊ena Kostek
    Pages 135-163

  7. Intelligent Processing of Test Results

    • Boz̊ena Kostek
    Pages 165-206

  8. Control Applications

    • Boz̊ena Kostek
    Pages 207-226

  9. Conclusions

    • Boz̊ena Kostek
    Pages 227-230

  10. References

    • Boz̊ena Kostek
    Pages 231-243

  11. Back Matter

    Pages 244-244
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Keywords

About this book

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.

Authors and Affiliations

  • Sound Engineering Department, Faculty of Electronics, Telecommunications & Informatics, Technical University of Gdańsk, Gdańsk, Poland

    Boz̊ena Kostek

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