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TASLP
2010
157views more  TASLP 2010»
14 years 4 months ago
Multichannel Nonnegative Matrix Factorization in Convolutive Mixtures for Audio Source Separation
Abstract--We consider inference in a general data-driven object-based model of multichannel audio data, assumed generated as a possibly underdetermined convolutive mixture of sourc...
Alexey Ozerov, Cédric Févotte
72
Voted
ECML
2007
Springer
15 years 3 months ago
Source Separation with Gaussian Process Models
In this paper we address a method of source separation in the case where sources have certain temporal structures. The key contribution in this paper is to incorporate Gaussian pro...
Sunho Park, Seungjin Choi
ISCAS
2006
IEEE
120views Hardware» more  ISCAS 2006»
15 years 3 months ago
Localization based audio source separation by sub-band beamforming
— In this paper, a localization based approach of audio signal separation from binary mixtures is carried out. The audio sources are localized in the spatial domain (azimuth plan...
M. Khademul Islam Molla, Keikichi Hirose, Nobuaki ...
ICASSP
2011
IEEE
14 years 1 months ago
Blind separation of multiple binary sources from one nonlinear mixture
We propose a new method for the blind separation of multiple binary signals from a single general nonlinear mixture. In addition to the usual independence assumption on the input ...
Konstantinos I. Diamantaras, Theophilos Papadimitr...
ICASSP
2009
IEEE
15 years 1 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