Soft Computing in Acoustics
Applications of Neural Networks, Fuzzy Logic and Rough Sets to Musical Acoustics
Series: Studies in Fuzziness and Soft Computing; 31;
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Product details:
- Edition number 1999
- Publisher Physica-Verlag HD
- Date of Publication 18 April 2014
- Number of Volumes 1 pieces, Book
- ISBN 9783662130056
- Binding Paperback
- No. of pages244 pages
- Size 279x210 mm
- Weight 657 g
- Language English
- Illustrations XV, 244 p. Illustrations, black & white 0
Categories
Long description:
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:
1. Introduction.- 2. Some Selected Soft Computing Tools and Techniques.- 3. Preprocessing of Acoustical Data.- 4. Automatic Classification of Musical Instrument Sounds.- 5. Automatic Recognition of Musical Phrases.- 6. Intelligent Processing of Test Results.- 7. Control Applications.- 8. Conclusions.- 9. References.
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