Frequency domain blind source separation exploiting higher-order dependencies

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn 5, Issue , 2006, Pages

  Kim, Taesu ^a,b   Attias, Hagai ^c   Lee, Soo Young ^b   Lee, Te Won ^a  

^a UNIVERSITY OF CALIFORNIA SAN DIEGO   (United States)

^b Korea Advanced Institute of Science and Technology (KAIST)   (South Korea)

^c Golden Metallic Inc   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; FREQUENCY DOMAIN ANALYSIS; PROBABILITY; PROBLEM SOLVING; ROBUST CONTROL;

FREQUENCY PERMUTATION PROBLEM; MULTIVARIATE SCORE FUNCTION; MUTUAL INFORMATION;

BLIND SOURCE SEPARATION;

EID: 33947672429     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

1. P. Smaragdis, "Blind separation of convolved mixtures in the frequency domain," Neurocomputing, vol. 22, pp. 21-34, 1998.
2. L. Parra and C. Spence, "Convolutive blind separation of nonstationary sources," IEEE Trans. Speech Audio Processing, vol. 8, no. 3, pp. 320-327, 2000.
3. F. Asano, S. Ikeda, M. Ogawa, H. Asoh, and N. Kitawaki, "A combined approach of array processing and independent component analysis for blind separation of acoustic signals," in Proc. IEEE Int. Conf. on Acoustics, Speech, and Signal Processing, 2001, pp. 2729-2732.
4. M. Z. Ikram and D. R. Morgan, "A beamforming approach to permutation alignment for multichannel frequency-domain blind speech separation," in Proc. IEEE Int. Conf. on Acoustics, Speech, and Signal Processing, 2002, pp. 881-884.
5. N. Murata, S. Ikeda, and A. Ziehe, "An approach to blind source separation based on temporal structure of speech signals," Neurocomputing, vol. 41, pp. 1-24, 2001.
6. S.-I. Amari, A. Cichocki, and H. H. Yang, "A new learning algorithm for blind signal separation," in Adv. Neural information Processing Systems, 1996, vol. 8.
7. K. Matsuoka and S. Nakashima, "Minimal distortion principle for blind source separation," in Proc. Int. Conf. on Independent Component Analysis and Blind Source Separation, 2001, pp. 722-727.
8. H. Sawada, R. Mukai, S. Araki, and S. Makino, "A robust and precise method for solving the permutation problem of frequency-domain blind source separation," IEEE Trans. Speech Audio Processing, vol. 12, no. 5, pp. 530-538, 2004.