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ICPR
2006
IEEE
9 years 5 months ago
ICA-Based Clustering for Resolving Permutation Ambiguity in Frequency-Domain Convolutive Source Separation
Permutation ambiguity is an inherent limitation in independent component analysis, which is a bottleneck in frequency-domain methods of convolutive source separation. In this pape...
Minje Kim, Seungjin Choi
TASLP
2011
7 years 11 months ago
Underdetermined Convolutive Blind Source Separation via Frequency Bin-Wise Clustering and Permutation Alignment
—This paper presents a blind source separation method for convolutive mixtures of speech/audio sources. The method can even be applied to an underdetermined case where there are ...
Hiroshi Sawada, Shoko Araki, Shoji Makino
ICA
2007
Springer
8 years 10 months ago
Solving the Permutation Problem in Convolutive Blind Source Separation
Abstract. This paper presents a new algorithm for solving the permutation ambiguity in convolutive blind source separation. When transformed to the frequency domain, the source sep...
Radoslaw Mazur, Alfred Mertins
IJON
2008
124views more  IJON 2008»
8 years 4 months ago
A dynamic algorithm for blind separation of convolutive sound mixtures
We study an efficient dynamic blind source separation algorithm of convolutive sound mixtures based on updating statistical information in the frequency domain, and minimizing the...
Jie Liu, Jack Xin, Yingyong Qi
TASLP
2002
142views more  TASLP 2002»
8 years 4 months ago
Geometric source separation: merging convolutive source separation with geometric beamforming
Convolutive blind source separation and adaptive beamforming have a similar goal--extracting a source of interest (or multiple sources) while reducing undesired interferences. A be...
Lucas C. Parra, Christopher V. Alvino
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