Soft Computing in Acoustics

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

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   Pages 5-23

4. Preprocessing of Acoustical Data

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   Pages 25-95

5. Automatic Classification of Musical Instrument Sounds

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   Pages 97-134

6. Automatic Recognition of Musical Phrases

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   Pages 135-163

7. Intelligent Processing of Test Results

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   Pages 165-206

8. Control Applications

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   Pages 207-226

9. Conclusions

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   Pages 227-230

10. References

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    Pages 231-243

11. Back Matter

    Pages 244-244

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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.

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

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

  Boz̊ena Kostek

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