Soft Computing in Acoustics

Applications of Neural Networks, Fuzzy Logic and Rough Sets to Musical Acoustics Bozena Kostek. 1. INTRODUCTION Acoustics is a very old domain of science, with notions of both architectural and musical acoustics appearing in classic ...

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Author: Bozena Kostek

Publisher: Physica

ISBN: 9783790818758

Category: Science

Page: 244

View: 299

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.

Methodologies For The Conception Design And Application Of Soft Computing Proceedings Of The 5th International Conference On Soft Computing And Information intelligent Systems In 2 Volumes

Methodologies for the Conception, Design and Application of Soft Computing An Acoustic Data Base Navigator for the Interactive Analysis of Psycho-Acoustic Sound Archives Andreas KÖNIG", Friedrich. E. BLUTNER+, Michael EBERHARDT# and ...

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Author: Matsumoto Gen

Publisher: World Scientific

ISBN: 9789814544351

Category:

Page: 1112

View: 618

Soft Computing in Acoustics

Applications of some selected soft computing methods to acoustics and sound engineering are presented in this book.

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Author: Bozena Kostek

Publisher: Physica

ISBN: STANFORD:36105119439847

Category: Business & Economics

Page: 243

View: 902

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.

Perception Based Data Processing in Acoustics

In : Proc 99th Convention AES , Preprint No 4076 ( H4 ) , J Audio Eng Soc ( Abstracts ) 43 , No 12 , New York Kostek B ( 1996 ) Rough Set and Fuzzy Set Methods Applied to Acoustical Analy- ses . J Intell Automation and Soft Computing ...

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Author: Bozena Kostek

Publisher: Springer Science & Business Media

ISBN: 3540257292

Category: Computers

Page: 440

View: 816

This monograph provides novel insights into cognitive mechanisms underlying the processing of sound and music in different environments. A solid understanding of these mechanisms is vital for numerous technological applications such as for example information retrieval from distributed musical databases or building expert systems. In order to investigate the cognitive mechanisms of music perception fundamentals of hearing psychophysiology and principles of music perception are presented. In addition, some computational intelligence methods are reviewed, such as rough sets, fuzzy logic, artificial neural networks, decision trees and genetic algorithms. The applications of hybrid decision systems to problem solving in music and acoustics are exemplified and discussed on the basis of obtained experimental results.

Artificial Intelligence and Soft Computing ICAISC 2004

The approach permitted, moreover, to discover a small but relevant subset of acoustic features ensuring a good approximation of the rankings. ... Kostek, B., Soft Computing in Acoustics, Physics Verlag, Heidelberg, 1999 4.

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Author: Leszek Rutkowski

Publisher: Springer

ISBN: 9783540248446

Category: Computers

Page: 1210

View: 883

This book constitutes the refereed proceedings of the 7th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2004, held in Zakopane, Poland in June 2004. The 172 revised contributed papers presented together with 17 invited papers were carefully reviewed and selected from 250 submissions. The papers are organized in topical sections on neural networks, fuzzy systems, evolutionary algorithms, rough sets, soft computing in classification, image processing, robotics, multiagent systems, problems in AI, intelligent control, modeling and system identification, medical applications, mechanical applications, and applications in various fields.

Neural Networks and Soft Computing

Proceedings of the Sixth International Conference on Neural Network and Soft Computing, Zakopane, Poland, June 11-15, ... Future Work This paper presented a neural network approach to detection of vehicles based on acoustic information.

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Author: Leszek Rutkowski

Publisher: Springer Science & Business Media

ISBN: 9783790819021

Category: Computers

Page: 914

View: 537

This volume presents new trends and developments in soft computing techniques. Topics include: neural networks, fuzzy systems, evolutionary computation, knowledge discovery, rough sets, and hybrid methods. It also covers various applications of soft computing techniques in economics, mechanics, medicine, automatics and image processing. The book contains contributions from internationally recognized scientists, such as Zadeh, Bubnicki, Pawlak, Amari, Batyrshin, Hirota, Koczy, Kosinski, Novák, S.-Y. Lee, Pedrycz, Raudys, Setiono, Sincak, Strumillo, Takagi, Usui, Wilamowski and Zurada. An excellent overview of soft computing methods and their applications.

Rough Neural Computing

5 of Journal of the Acoustical Society of America, 107, 3aPP14, 2000. . A. Czyzewski, B. Kostek, P Odya, S. Zielinski. Determining influence of visual cues on the perception of surround sound using soft computing.

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Author: Sankar Kumar Pal

Publisher: Springer Science & Business Media

ISBN: 9783642188596

Category: Computers

Page: 736

View: 925

Soft computing comprises various paradigms dedicated to approximately solving real-world problems, e.g. in decision making, classification or learning; among these paradigms are fuzzy sets, rough sets, neural networks, genetic algorithms, and others. It is well understood now in the soft computing community that hybrid approaches combining various paradigms are very promising approaches for solving complex problems. Exploiting the potential and strength of both neural networks and rough sets, this book is devoted to rough-neuro computing which is also related to the novel aspect of computing based on information granulation, in particular to computing with words. It provides foundational and methodological issues as well as applications in various fields.

Handbook of Granular Computing

Rough Set Theory and Granular Computing, Studies in Fuzziness and Soft Computing, Vol. 125. Springer-Verlag, Heidelberg, 2003. [7] B. Kostek. Soft Computing in Acoustics, Applications of Neural Networks, Fuzzy Logic and Rough Sets to ...

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Author: Witold Pedrycz

Publisher: John Wiley & Sons

ISBN: 9780470724156

Category: Technology & Engineering

Page: 1148

View: 887

Although the notion is a relatively recent one, the notions and principles of Granular Computing (GrC) have appeared in a different guise in many related fields including granularity in Artificial Intelligence, interval computing, cluster analysis, quotient space theory and many others. Recent years have witnessed a renewed and expanding interest in the topic as it begins to play a key role in bioinformatics, e-commerce, machine learning, security, data mining and wireless mobile computing when it comes to the issues of effectiveness, robustness and uncertainty. The Handbook of Granular Computing offers a comprehensive reference source for the granular computing community, edited by and with contributions from leading experts in the field. Includes chapters covering the foundations of granular computing, interval analysis and fuzzy set theory; hybrid methods and models of granular computing; and applications and case studies. Divided into 5 sections: Preliminaries, Fundamentals, Methodology and Algorithms, Development of Hybrid Models and Applications and Case Studies. Presents the flow of ideas in a systematic, well-organized manner, starting with the concepts and motivation and proceeding to detailed design that materializes in specific algorithms, applications and case studies. Provides the reader with a self-contained reference that includes all pre-requisite knowledge, augmented with step-by-step explanations of more advanced concepts. The Handbook of Granular Computing represents a significant and valuable contribution to the literature and will appeal to a broad audience including researchers, students and practitioners in the fields of Computational Intelligence, pattern recognition, fuzzy sets and neural networks, system modelling, operations research and bioinformatics.

Soft Computing

Speaker Recognition with Vocabulary of Isolated Words Using Acoustic ... 359 6. Results of Speaker Recognition and Conclusion To evaluate the performance of the Speaker identification software with the 10 isolated words using room ...

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Author:

Publisher: Allied Publishers

ISBN: 817764632X

Category: Soft computing

Page: 636

View: 968

Rough Granular Computing in Knowledge Discovery and Data Mining

Studies in Fuzziness and Soft Computing, vol. 125. Springer, Heidelberg (2003) Kostek, B.: Soft Computing in Acoustics, Applications of Neural Networks, Fuzzy Logic and Rough Sets to Physical Acoustics. Studies in Fuzziness and Soft ...

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Author: J. Stepaniuk

Publisher: Springer

ISBN: 9783540708018

Category: Computers

Page: 162

View: 544

This book covers methods based on a combination of granular computing, rough sets, and knowledge discovery in data mining (KDD). The discussion of KDD foundations based on the rough set approach and granular computing feature illustrative applications.