A New Method for Solving the Permutation Problem of Frequency-Domain Blind Source Separation

IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences ◽

10.1093/ietfec/e88-a.6.1543 ◽

2005 ◽

Vol E88-A (6) ◽

pp. 1543-1548

Author(s):

X. HU

Keyword(s):

Frequency Domain ◽

Blind Source Separation ◽

Source Separation ◽

Permutation Problem

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A New Method of Solving Permutation Problem in Blind Source Separation for Convolutive Acoustic Signals in Frequency-domain

2007 International Joint Conference on Neural Networks ◽

10.1109/ijcnn.2007.4371135 ◽

2007 ◽

Author(s):

Wenyan Wu ◽

Liming Zhang

Keyword(s):

Frequency Domain ◽

Blind Source Separation ◽

Source Separation ◽

Acoustic Signals ◽

Permutation Problem

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A robust approach to the permutation problem of frequency-domain blind source separation

2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). ◽

10.1109/icassp.2003.1199969 ◽

2004 ◽

Author(s):

H. Sawada ◽

R. Mukai ◽

S. Araki ◽

S. Makino

Keyword(s):

Frequency Domain ◽

Blind Source Separation ◽

Source Separation ◽

Robust Approach ◽

Permutation Problem

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Overcoming block permutation problem in frequency domain blind source separation when using AuxIVA algorithm

Electronics Letters ◽

10.1049/el.2011.3988 ◽

2012 ◽

Vol 48 (8) ◽

pp. 460 ◽

Author(s):

Yanfeng Liang ◽

S.M. Naqvi ◽

J. Chambers

Keyword(s):

Frequency Domain ◽

Blind Source Separation ◽

Source Separation ◽

Permutation Problem ◽

Block Permutation

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Generalized method for solving the permutation problem in frequency-domain blind source separation of convolved speech signals

10.21437/interspeech.2011-232 ◽

2011 ◽

Author(s):

Auxiliadora Sarmiento ◽

Iván Durán ◽

Sergio Cruces ◽

Pablo Aguilera

Keyword(s):

Frequency Domain ◽

Blind Source Separation ◽

Source Separation ◽

Speech Signals ◽

Permutation Problem

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A Novel Hybrid Approach to the Permutation Problem of Frequency Domain Blind Source Separation

Independent Component Analysis and Blind Signal Separation - Lecture Notes in Computer Science ◽

10.1007/978-3-540-30110-3_68 ◽

2004 ◽

pp. 532-539 ◽

Author(s):

Wenwu Wang ◽

Jonathon A. Chambers ◽

Saeid Sanei

Keyword(s):

Frequency Domain ◽

Blind Source Separation ◽

Source Separation ◽

Hybrid Approach ◽

Permutation Problem

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A Robust Correlation Method for Solving Permutation Problem in Frequency Domain Blind Source Separation of Speech Signals

APCCAS 2006 - 2006 IEEE Asia Pacific Conference on Circuits and Systems ◽

10.1109/apccas.2006.342209 ◽

2006 ◽

Author(s):

V.G. Reju ◽

Soo Ngee Koh ◽

Ing Yann Soon

Keyword(s):

Frequency Domain ◽

Blind Source Separation ◽

Source Separation ◽

Correlation Method ◽

Speech Signals ◽

Permutation Problem

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Partial separation method for solving permutation problem in frequency domain blind source separation of speech signals

Neurocomputing ◽

10.1016/j.neucom.2007.08.030 ◽

2008 ◽

Vol 71 (10-12) ◽

pp. 2098-2112 ◽

Author(s):

V.G. Reju ◽

Soo Ngee Koh ◽

Ing Yann Soon

Keyword(s):

Frequency Domain ◽

Blind Source Separation ◽

Source Separation ◽

Separation Method ◽

Speech Signals ◽

Partial Separation ◽

Permutation Problem

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An expectation-maximization method for the permutation problem in frequency-domain blind source separation

2010 IEEE International Conference on Acoustics, Speech and Signal Processing ◽

10.1109/icassp.2010.5496274 ◽

2010 ◽

Author(s):

Thom-Thi Ngo ◽

Seung-Hyon Nam

Keyword(s):

Frequency Domain ◽

Blind Source Separation ◽

Expectation Maximization ◽

Source Separation ◽

Permutation Problem

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A Robust and Precise Method for Solving the Permutation Problem of Frequency-Domain Blind Source Separation

IEEE Transactions on Speech and Audio Processing ◽

10.1109/tsa.2004.832994 ◽

2004 ◽

Vol 12 (5) ◽

pp. 530-538 ◽

Author(s):

H. Sawada ◽

R. Mukai ◽

S. Araki ◽

S. Makino

Keyword(s):

Frequency Domain ◽

Blind Source Separation ◽

Source Separation ◽

Precise Method ◽

Permutation Problem

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A New Approach to the Permutation Problem in Frequency Domain Blind Source Separation

Independent Component Analysis and Blind Signal Separation - Lecture Notes in Computer Science ◽

10.1007/978-3-540-30110-3_107 ◽

2004 ◽

pp. 849-856 ◽

Author(s):

Koutaro Kamata ◽

Xuebin Hu ◽

Hidefumi Kobatake

Keyword(s):

Frequency Domain ◽

Blind Source Separation ◽

Source Separation ◽

New Approach ◽

Permutation Problem

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