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» A General Modular Framework for Audio Source Separation
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ISNN
2005
Springer
13 years 11 months ago
A Learning Framework for Blind Source Separation Using Generalized Eigenvalues
This paper presents a learning framework for blind source separation (BSS), in which the BSS is formulated as generalized Eigenvalue (GE) problem. Compared to the typical informati...
Hailin Liu, Yiu-ming Cheung
ICASSP
2009
IEEE
13 years 10 months ago
Multichannel nonnegative matrix factorization in convolutive mixtures. With application to blind audio source separation
We consider inference in a general data-driven object-based model of multichannel audio data, assumed generated as a possibly underdetermined convolutive mixture of source signals...
Alexey Ozerov, Cédric Févotte
IIHMSP
2006
IEEE
100views Multimedia» more  IIHMSP 2006»
14 years 9 days ago
An Improved Technique for Blind Audio Source Separation
A blind audio source separation technique with an ill-posed mixing matrix and additive noise is proposed in this work. With this technique, we divide the solution into two steps. ...
Namgook Cho, Yu Shiu, C. C. Jay Kuo
TASLP
2011
13 years 1 months ago
Time-Domain Blind Separation of Audio Sources on the Basis of a Complete ICA Decomposition of an Observation Space
—Time-domain algorithms for blind separation of audio sources can be classified as being based either on a partial or complete decomposition of an observation space. The decompo...
Zbynek Koldovský, Petr Tichavský
ICRA
2009
IEEE
109views Robotics» more  ICRA 2009»
14 years 28 days ago
Self-adapting modular robotics: A generalized distributed consensus framework
Abstract— Biological systems achieve amazing adaptive behavior with local agents performing simple sensing and actions. Modular robots with similar properties can potentially ach...
Chih-Han Yu, Radhika Nagpal