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INTERSPEECH
2010
12 years 11 months ago
Reducing musical noise in blind source separation by time-domain sparse filters and split bregman method
Musical noise often arises in the outputs of time-frequency binary mask based blind source separation approaches. Postprocessing is desired to enhance the separation quality. An e...
Wenye Ma, Meng Yu, Jack Xin, Stanley Osher
IJON
2002
128views more  IJON 2002»
13 years 4 months ago
Extraction of a source from multichannel data using sparse decomposition
It was discovered recently that sparse decomposition by signal dictionaries results in dramatic improvement of the qualities of blind source separation. We exploit sparse decompos...
Michael Zibulevsky, Yehoshua Y. Zeevi
ICA
2010
Springer
13 years 4 months ago
Adaptive Segmentation and Separation of Determined Convolutive Mixtures under Dynamic Conditions
Abstract. In this paper, we propose a method for blind source separation (BSS) of convolutive audio recordings with short blocks of stationary sources, i.e. dynamically changing so...
Benedikt Loesch, Bin Yang
ICASSP
2008
IEEE
13 years 11 months ago
Encoding large array signals into a 3D sound field representation for selective listening point audio based on blind source sepa
A sound eld reproduction method which uses blind source separation and head-related transfer function is proposed. In the proposed system, multichannel acoustic signals captured a...
Kenta Niwa, Takanori Nishino, Kazuya Takeda
ICASSP
2008
IEEE
13 years 11 months ago
Blind source separation using monochannel overcomplete dictionaries
We propose a new approach to underdetermined Blind Source Separation (BSS) using sparse decomposition over monochannel dictionary atoms and compare it to multichannel dictionary a...
B. Vikrham Gowreesunker, Ahmed H. Tewfik