Stable and fast update rules for independent vector analysis based on auxiliary function technique

IEEE Workshop on Applications of Signal Processing to Audio and Acoustics

Volumn , Issue , 2011, Pages 189-192

  Ono, Nobutaka ^a  

^a NATIONAL INSTITUTE OF INFORMATICS   (Japan)

Author keywords

auxiliary function; blind source separation; independent vector analysis; natural gradient

Indexed keywords

AUXILIARY FUNCTIONS; DEMIXING MATRIX; EXPERIMENTAL EVALUATION; FASTER CONVERGENCE; INDEPENDENT VECTOR ANALYSIS; MATRIX UPDATES; MONOTONIC DECREASE; NATURAL GRADIENT; OBJECTIVE FUNCTIONS; STEP SIZE; TUNING PARAMETER; WEIGHTED COVARIANCE;

AUDIO ACOUSTICS; BLIND SOURCE SEPARATION; COVARIANCE MATRIX;

AUDIO SIGNAL PROCESSING;

EID: 83455221013     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ASPAA.2011.6082320     Document Type: Conference Paper

References (13)

1. A. Hiroe, "Solution of Permutation Problem in Frequency Domain ICA Using Multivariate Probability Density Functions," Proc. ICA, pp. 601-608, 2006.
2. T. Kim, T. Eltoft, and T.-W. Lee, "Independent Vector Analysis: An Extension of ICA to Multivariate Components," Proc. ICA, pp. 165-172, 2006.
3. T. Kim, H. T. Attias, S.-Y. Lee, and T.-W. Lee, "Blind Source Separation Exploiting Higher-order Frequency Dependencies," IEEE Trans. ASLP, vol. 15, no. 1, pp. 70-79, 2007.
4. P. Smaragdis, "Blind Separation of Convolved Mixtures in the Frequency Domain," Neurocomputing, vol. 22, no. 1-3, pp. 21-34, 1998. (Pubitemid 28539487)
5. H. Sawada, R. Mukai, S. Araki, S. Makino, "A Robust and Precise Method for Solving the Permutation Problem of Frequency-Domain Blind Source Separation," IEEE Trans. SAP, vol.12, no.5, pp.530-538, Sept. 2004.
6. N. Ono and S. Miyabe, "Auxiliary-function-based Independent Component Analysis for Super-Gaussian Sources," Proc. LVA/ICA, pp.165-172, 2010.
7. D. D. Lee and H. S. Seung, "Algorithms for Non-Negative Matrix Factorization" Proc. NIPS, pp. 556-562, 2000.
8. N. Ono and S. Sagayama, "R-Means Localization: A Simple Iterative Algorithm for Source Localization Based on Time Difference of Arrival," Proc. ICASSP, pp. 2718-2721, Mar. 2010.
9. N. Murata, S. Ikeda, and A. Ziehe, "An Approach to Blind Source Separation Based on Temporal Structure of Speech Signals," Neurocomputing, vol. 41, no. 1, pp. 1-24, 2001.
10. S. Nakamura, K. Hiyane, F. Asano, T. Nishiura, and T. Yamada, "Acoustical Sound Database in Real Environments for Sound Scene Understanding and Hands-Free Speech Recognition," Proc. LREC, pp. 965-968, 2000.
11. A. Yeredor, "On Hybrid Exact-Approximate Joint Diaginalization, " Proc. CAMSAP, pp. 312-315, 2009.
12. E. Vincent, C. Fevotte, and R. Gribonval, "Performance Measurement in Blind Audio Source Separation," IEEE Trans. ASLP, vol. 14, no. 4, pp. 1462-1469, 2006. (Pubitemid 46547636)
13. F. Nesta, T. S. Wada, B. H. Juang, "Coherent spectral estimation for a robust solution of the permutation problem," Proc. WASPAA, pp. 105-108, Oct. 2009.