Soft computing in acoustics applications of neural networks, fuzzy logic and rough sets to musical acoustics ; with 84 tables

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. 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 Introduction Some Selected Soft Computing Tools and Techniques Preprocessing of Data in Acoustics Automatic Classification of Musical Instrument Sounds Automatic Recognition of Musical Phrases Intelligent Processing of Test Results Control Applications Conclusions.