Real-time convolutive blind source separation based on a broadband approach

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3195, Issue , 2004, Pages 840-848

  Aichner, Robert ^a   Buchner, Herbert ^a   Yan, Fei ^a   Kellermann, Walter ^a  

^a UNIVERSITY OF ERLANGEN NUREMBERG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; INDEPENDENT COMPONENT ANALYSIS; LAPTOP COMPUTERS; REAL TIME CONTROL; REVERBERATION;

CONVOLUTIVE BLIND SOURCE SEPARATION; CONVOLUTIVE MIXTURE; EFFICIENT IMPLEMENTATION; MATRIX FORMULATION; NON-STATIONARITIES; REAL-TIME IMPLEMENTATIONS; SECOND ORDER STATISTICS; SEPARATION PERFORMANCE;

BLIND SOURCE SEPARATION;

EID: 35048890593     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-30110-3_106     Document Type: Article

References (10)

1. R. Aichner, S. Araki, S. Makino, T. Nishikawa, and H. Saruwatari. Time-domain blind source separation of non-stationary convolved signals by utilizing geometric beamforming. In Proc. Neural Networks for Signal Processing, pp 445-454, 2002.
2. H. Buchner, R. Aichner, and W. Kellermann. A generalization of a class of blind source separation algorithms for convolutive mixtures. In Proc. Int. Symp. on Independent Comp. Analysis and Blind Signal Separation (ICA), pp 945-950, 2003.
3. H. Buchner, R. Aichner, and W. Kellermann. Blind source separation for convolutive mixtures: A unified treatment. In J. Benesty and Y. Huang, editors, Audio Signal Processing for Next-Generation Multimedia Communication Systems. Kluwer Academic Publishers, Boston, Feb. 2004.
4. J.S. Garofolo et al. TIMIT acoustic-phonetic continuous speech corpus, 1993.
5. S. Haykin. Adaptive Filter Theory. Prentice Hall Inc., Englewood Cliffs, NJ, 4th edition, 2002.
6. A. Hyvaerinen, J. Karhunen, and E. Oja. Independent Component Analysis. John Wiley & Sons, 2001.
7. J.D. Markel and A.H. Gray. Linear Prediction of Speech. Springer, Berlin, 1976.
8. K. Matsuoka, M. Ohya, and M. Kawamoto. Neural net for blind separation of nonstationary signals. IEEE Trans. Neural Networks, 8(3):411-419, 1995.
9. R. Mukai, H. Sawada, S. Araki, and S. Makino. Robust real-time blind source separation for moving speakers using blockwise ICA and residual crosstalk subtraction. In Proc. ICA, pages 975-980, 2003.
10. T. Nishikawa, H. Saruwatari, and K. Shikano. Comparison of time-domain ICA, frequency-domain ICA and multistage ICA for blind source separation. In Proc. European Signal Processing Conference, volume 2, pages 15-18, Sep. 2002.