Estimating the number of sources using independent component analysis

Acoustical Science and Technology

Volumn 26, Issue 5, 2005, Pages 450-452

  Sawada, Hiroshi ^a   Mukai, Ryo ^a   Araki, Shoko ^a   Makino, Shoji ^a  

^a Nippon Telegraph and Telephone Corporation   (Japan)

Author keywords

Convolutive mixtures; Eigenvalue of correlation matrix; Independent component analysis

Indexed keywords

CONVOLUTIVE MIXTURES; EIGENVALUE OF CORRELATION MATRIX; FREQUENCY DOMAINS; NOISE COMPONENTS;

BLIND SOURCE SEPARATION; CORRELATION METHODS; EIGENVALUES AND EIGENFUNCTIONS; FREQUENCY DOMAIN ANALYSIS; REVERBERATION;

SIGNAL PROCESSING;

EID: 25144436453     PISSN: 13463969     EISSN: 13475177     Source Type: Journal    
DOI: 10.1250/ast.26.450     Document Type: Article

References (4)

1. H. Sawada, R. Mukai, S. Araki and S. Makino, "Frequency-domain blind source separation," in Speech Enhancement, J. Benesty, S. Makino and J. Chen, Eds. (Springer, Berlin, 2005), pp. 299-327.
2. M. Wax and T. Kailath, "Detection of signals by information theoretic criteria," IEEE Trans. Acoust. Speech Signal Process., 33, 387-392 (1985).
3. K. Yamamoto, F. Asano, W. van Rooijen, E. Ling, T. Yamada and N. Kitawaki, "Estimation of the number of sound sources using support vector machines and its application to sound source separation," Proc. ICASSP 2003, pp. 485-488 (2003).
4. A. Hyvärinen, J. Karhunen and E. Oja, Independent Component Analysis (John Wiley & Sons, New York, 2001).