Relaxing the WDO Assumption in Blind Extraction of Speakers from Speech Mixtures
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[1] Rémi Gribonval,et al. A robust method to count, locate and separate audio sources in a multichannel underdetermined mixture , 2008 .
[2] Yutaka Kaneda,et al. Sound source segregation based on estimating incident angle of each frequency component of input signals acquired by multiple microphones , 2001 .
[3] Erkki Oja,et al. Independent Component Analysis , 2001 .
[4] Scott Rickard,et al. The DUET Blind Source Separation Algorithm , 2007, Blind Speech Separation.
[5] Yuanqing Li,et al. K-hyperline clustering learning for sparse component analysis , 2009, Signal Process..
[6] Rémi Gribonval,et al. A Robust Method to Count and Locate Audio Sources in a Multichannel Underdetermined Mixture , 2010, IEEE Transactions on Signal Processing.
[7] Jae S. Lim,et al. Two-Dimensional Signal and Image Processing , 1989 .
[8] Yannick Deville,et al. A time-frequency blind signal separation method applicable to underdetermined mixtures of dependent sources , 2005, Signal Process..
[9] C. Serviere,et al. Blind source separation of convolutive mixtures , 1996, Proceedings of 8th Workshop on Statistical Signal and Array Processing.
[10] Hiroshi Sawada,et al. Underdetermined blind sparse source separation for arbitrarily arranged multiple sensors , 2007, Signal Process..
[11] Scott Rickard,et al. Blind separation of speech mixtures via time-frequency masking , 2004, IEEE Transactions on Signal Processing.
[12] Nozomu Hamada,et al. Separation of speech mixture by time-frequency masking utilizing sound harmonics , 2009 .
[13] Andrzej Cichocki,et al. Adaptive blind signal and image processing , 2002 .
[14] Tetsunori Kobayashi,et al. ASJ continuous speech corpus for research , 1992 .
[15] Te-Won Lee,et al. Blind Speech Separation , 2007, Blind Speech Separation.