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Soft Computing in Acoustics: Applications of Neural Networks, Fuzzy Logic and Rough Sets to Musical Acoustics

✍ Scribed by Dr. Boz̊ena Kostek (auth.)

Publisher: Physica-Verlag Heidelberg
Year: 1999
Tongue: English
Leaves: 254
Series: Studies in Fuzziness and Soft Computing 31
Edition: 1
Category: Library

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✦ Synopsis

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.

✦ Table of Contents

Front Matter....Pages i-xv
Introduction....Pages 1-4
Some Selected Soft Computing Tools and Techniques....Pages 5-23
Preprocessing of Acoustical Data....Pages 25-95
Automatic Classification of Musical Instrument Sounds....Pages 97-134
Automatic Recognition of Musical Phrases....Pages 135-163
Intelligent Processing of Test Results....Pages 165-206
Control Applications....Pages 207-226
Conclusions....Pages 227-230
References....Pages 231-243
Back Matter....Pages 244-244

✦ Subjects

Acoustics;Artificial Intelligence (incl. Robotics);Business Information Systems

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