Auditory and Visual-based Signal Processing with Interactive Evolutionary Computation
Inhaltsverzeichnis
Reference
Hideyuki Takagi: Auditory and Visual-based Signal Processing with Interactive Evolutionary Computation. in Machine Intelligence Quo Vadis? -- The Progressive Trends in Intelligent Technologies --, 2nd Euro-International Symposium on Computational Intelligence (E_ISCI2002), Kosice, Slovakia, (June 16-19, 2002).
DOI
Abstract
We discuss new type of signal processing approach, auditory and visual-based signal processing, and show some examples of filter design based on this approach. This approach allows us to design fil- ters based on our auditory or visual evaluation of the filter outputs, while the conventional signal processing is based on mathematical ex- pression. Interactive evolutionary computation is a main technology of this approach, and the evolutionary computation optimizes the target filter based on our auditory or visual inspection to the processed signal. Recovering speech from distorted speech, compensation of hearing im- pairment, and enhancing images are discussed as examples of this new approach of signal processing.
Extended Abstract
Bibtex
Used References
1. Hayashida, N. and Takagi, H., “Visualized IEC: Interactive evolutionary compu- tation with multidimensional data visualization” in IEEE Industrial Electronics, Control and Instrumentation (IECON 2000), Nagoya, Japan, pp. 2738–2743 (Oct., 2000).
2. Hayashida N. and Takagi H., “Acceleration of EC Convergence with Landscape Visualization and Human Intervention,” Applied Soft Computing, Elsevier Science, (will appear in 2002).
3. Ohsaki, M. and Takagi, H., “Application of Interactive Evolutionary Computation to Optimal Tuning of Digital Hearing Aids,” in 5th Int’l Conf. on Soft Comput- ing (IIZUKA’98), pp.849–852, Iizuka, Fukuoka, Japan: World Scientific, Singapore (Oct., 1998).
4. Ohsaki, M. and Takagi, H., “Design and Development of an IEC-based Hearing Aids Fitting System,” in 4th Asia Fuzzy System Symposium (AFSS’00), Tsukuba, Japan, pp.543–548 (May, 2000).
5. Poli, R. and Cagnoni, S., “Genetic programming with user-driven selection: Ex- periments on the evolution of algorithms for image enhancement,” in 2nd Annual Conf. on Genetic Programming, 1997, pp. 269–277.
6. Takagi, H., “Active user intervention in an EC search,” in Int. Conf. on Information Sciences (JCIS2000), Atlantic City, NJ, USA, pp. 995–998 (Feb./Mar., 2000).
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8. Takagi, H. and Ohsaki, M., “IEC-based Hearing Aids Fitting,” in IEEE Int. Conf. on Systems, Man, and Cybernetics (SMC’99), Tokyo, Japan, III, pp.657–662 (Oct., 1999).
9. Takagi, H. and Ohsaki, M., “IEC fitting: New framework of hearing aid fitting based on computational intelligence technology and user’s preference for hearing,” in Int’l Hearing Aid Research Conference (IHCON2000), Poster session PB9, pp.49–50, Lake Tahoe, CA, USA (Aug., 2000)
10. Takagi, H., “Interactive Evolutionary Computation: Fusion of the Capacities of EC Optimization and Human Evaluation,” in Proceedings of the IEEE, 89(9), pp.1275–1296 (2001).
11. Todoroki, Y. and Takagi, H, “User Interface of an Interactive Evolutionary Compu- tation for Speech Processing,” in 6th Int’l Conf. on Soft Computing (IIZUKA2000), Iizuka, Fukuoka, Japan: World Scientific, Singapore, pp.112–118 (Oct., 2000).
12. Watanabe, T. and Takagi, H., “Recovering system of the distorted speech using interactive genetic algorithms,” in IEEE Int. Conf. on Systems, Man and Cyber- netics (SMC’95), Vancouver, Canada, Oct. 1995, 1, pp. 684–689.
Links
Full Text
same as a book in BOOK CHAPTER http://www.design.kyushu-u.ac.jp/~takagi/TAKAGI/IECpaper/ISCI2002_1.pdf
