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Source separation

Source separation problems in digital signal processing are those in which several signals have been mixed together into a combined signal and the… 
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Papers overview

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Highly Cited
2010
Highly Cited
2010
Edited by the people who were forerunners in creating the field, together with contributions from 34 leading international… 
Highly Cited
2010
Highly Cited
2010
We consider inference in a general data-driven object-based model of multichannel audio data, assumed generated as a possibly… 
Highly Cited
2007
Highly Cited
2007
  • T. Virtanen
  • IEEE Transactions on Audio, Speech, and Language…
  • 2007
  • Corpus ID: 2856543
An unsupervised learning algorithm for the separation of sound sources in one-channel music signals is presented. The algorithm… 
Highly Cited
2006
Highly Cited
2006
In this paper, we discuss the evaluation of blind audio source separation (BASS) algorithms. Depending on the exact application… 
Highly Cited
2004
Highly Cited
2004
Blind source separation (BSS) for convolutive mixtures can be solved efficiently in the frequency domain, where independent… 
Highly Cited
2001
Highly Cited
2001
Most source separation algorithms are based on a model of stationary sources. However, it is a simple matter to take advantage of… 
Highly Cited
2000
Highly Cited
2000
Source separation, or computational auditory scene analysis, attempts to extract individual acoustic objects from input which… 
Highly Cited
1997
Highly Cited
1997
Separation of sources consists of recovering a set of signals of which only instantaneous linear mixtures are observed. In many… 
Highly Cited
1996
Highly Cited
1996
Source separation consists of recovering a set of independent signals when only mixtures with unknown coefficients are observed… 
Highly Cited
1989
Highly Cited
1989
  • J. Cardoso
  • International Conference on Acoustics, Speech…
  • 1989
  • Corpus ID: 17064088
The author presents a simple algebraic method for the extraction of independent components in multidimensional data. Since…