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Classification of Signals Segregated using ICA  

Kim, Seon-Il (Dept. of Information Technology for Shipbuilding, Koje College)
Publication Information
전자공학회논문지 IE / v.47, no.4, 2010 , pp. 10-17 More about this Journal
Abstract
There is no general method to find out from signals of the channel outputs of ICA(Independent Component Analysis) which is what you want. Assuming speech signals contaminated with the sound from the muffler of a car, this paper presents the method which shows what you want, It is anticipated that speech signals will show larger correlation coefficients for speech signals than others. Batch, maximum and average method were proposed using 'ah', 'oh', 'woo' vowels whose signals were spoken by the same person who spoke the speech signals and using the same vowels whose signals are by another person. With the correlation coefficients which were calculated for each vowel, voting and summation methods were added. This paper shows what the best is among several methods tried.
Keywords
ICA; BSS;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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1 S. Amari, A. Cichocki, H. H. Yang, "A New Learning Algorithm for Blind Signal Separation", In Advances in Neural Information Processing System 8. Cambridge, MA:MIT Press, pp. 757-763, 1996.
2 S. Amari, "Natural Gradient Works Efficiently in Learning," Neural Computation, vol. 10, no. 2, pp 251-276, Feb., 1998.   DOI   ScienceOn
3 김선일, "잡음 섞인 한국어 인식을 위한 ICA 비교 연구", 대한전자공학회 논문지 제 45권 IE편 제3호, 2008년 9월   과학기술학회마을
4 김우철 외 8인, 현대통계학, 영지문화사, 1988.
5 A. Hyvarinen, "Fast and Robust Fixed-Point Algorithms for Independent Component Analysis," IEEE Transactions on Neural Networks, vol. 10, no. 3, pp. 626-634, May, 1999.   DOI   ScienceOn
6 A. Papoulis, Probability, Random Variables, and Stochastic Processes, McGraw-Hill, 1991.
7 D. Obradovic, G. Deco, "Information Maximization and Independent Component Analysis: Is There a Difference?" Neural Computing, vol. 10, no. 8, pp. 2085-2101, Nov., 1998.   DOI   ScienceOn
8 A. Hyvarinen, "Survey on independent component analysis," Neural Computing Surveys 2, pp. 94-128, 1999.
9 A. J. Bell land Terrence J. Sejnowski, "An information-maximization approach to blind separation and blind deconvolution," Neural Computation, vol. 7, no. 6, pp. 1129-1159, 1995.   DOI   ScienceOn
10 J. F. Cardoso, "Blind signal separation: statistical principles," Prod. IEEE, vol. 9, no. 10, pp. 2009-2025, Oct., 1998.
11 A. Hyvarinen, J. Karhunen, and E. Oja, Independent Component Analysis, John Wiley and Sons, 2000.
12 P. Comon, "Independent component analysis, A new concept?," Signal Processing, vol. 36, pp. 287-314, 1994.   DOI   ScienceOn
13 J. P. LeBlanc and P. L. De Leon, "Speech Separation by Kurtosis Maximization," Proc. ICASSP, vol. 2, pp. 1029-1032, 1998.