Using inter-frequency decorrelation to reduce the permutation inconsistency problem in blind source separation

9th European Conference on Speech Communication and Technology

Volumn , Issue , 2005, Pages 2357-2360

  Robledo Arnuncio, Enrique ^a   Juang, Biing Hwang ^a  

^a GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CORRELATION METHODS; ESTIMATION; FREQUENCY DOMAIN ANALYSIS; PROBLEM SOLVING; SPEECH RECOGNITION;

INTER-FREQUENCY CORRELATION MATRICES; INTER-FREQUENCY DECORRELATION; PERMUTATION INCONSISTENCY PROBLEM; PERMUTATIONS;

BLIND SOURCE SEPARATION;

EID: 33745222527     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.21437/interspeech.2005-750     Document Type: Conference Paper

References (6)

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4. I. Bradaric, A. P. Petropulu, and K. I. Diamantaras, "Blind MIMO FIR channel identification based on second-order spectra correlations," IEEE transactions on Signal Processing, vol. 51, no. 6, pp. 1668-1674, June 2003.
5. D. Obradovic, N. Madhu, A. Szabo, and C. S. Wong, "Independent component analysis for semi-blind signal separation in MIMO mobile frequency selective communication channels," in Proceedings of the IEEE International Joint Conference on Neural Networks, Budapest, Hungary, July 2004, pp. 53-58.
6. M. Z. Ikram and D. R. Morgan, "Exploring permutation inconsistency in blind separation of speech signals in a reverberant environment," in Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, vol. 2, Istambul, Turkey, June 2000, pp. 1041-1044.