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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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Related topics
Related topics
13 relations
Blind signal separation
Computational auditory scene analysis
Empirical orthogonal functions
Factorial code
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Broader (2)
Digital signal processing
Speech processing
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2016
2016
Non-negative matrix based optimization scheme for blind source separation in automatic speech recognition system
S. S. Kumar
,
S. Bharathi
,
M. Archana
International Conference on Communication and…
2016
Corpus ID: 44019478
Recently, use of automatic speech recognition system is demanded for various applications such as security, word to text…
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Review
2015
Review
2015
Phase Estimation in Single-Channel Speech Enhancement: Limits-Potential
Pejman Mowlaee
,
Josef Kulmer
IEEE/ACM Transactions on Audio Speech and…
2015
Corpus ID: 13058142
In this paper, we present an overview on the previous and recent methods proposed to estimate a clean spectral phase from a noisy…
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2013
2013
An algorithm for underdetermined mixing matrix estimation
Tianbao Dong
,
Ying-Ke Lei
,
Jingshu Yang
Neurocomputing
2013
Corpus ID: 8801706
Highly Cited
2010
Highly Cited
2010
Speech separation using speaker-adapted eigenvoice speech models
Ron J. Weiss
,
D. Ellis
Computer Speech and Language
2010
Corpus ID: 8017410
Highly Cited
2004
Highly Cited
2004
A geometric algorithm for overcomplete linear ICA
Fabian J Theis
,
E. Lang
,
C. Puntonet
Neurocomputing
2004
Corpus ID: 2998138
2002
2002
Kernel-Based Extraction of Slow Features: Complex Cells Learn Disparity and Translation Invariance from Natural Images
Alistair J. Bray
,
D. Martinez
Neural Information Processing Systems
2002
Corpus ID: 16731437
In Slow Feature Analysis (SFA [1]), it has been demonstrated that, high-order invariant properties can be extracted by projecting…
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Highly Cited
2001
Highly Cited
2001
UNDERDETERMINED BLIND SOURCE SEPARATION USING A PROBABILISTIC SOURCE SPARSITY MODEL
L. Vielva
,
Deniz Erdoğmuş
,
J. Príncipe
2001
Corpus ID: 18316874
Blind source separation consists of recovering n source signals from m measurements that are an unknown function of the sources…
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2001
2001
A contribution to (neuromorphic) blind deconvolution by flexible approximated Bayesian estimation
S. Fiori
Signal Processing
2001
Corpus ID: 18082155
Highly Cited
1997
Highly Cited
1997
A blind signal separation method for multiuser communications
L. Castedo
,
C. Escudero
,
A. Dapena
IEEE Transactions on Signal Processing
1997
Corpus ID: 17859886
A new approach based on the constant modulus (CM) criterion is proposed to separate instantaneous linear mixtures of signals…
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1997
1997
Smart antennas in wireless systems: uplink multiuser blind channel and sequence detection
Hui Liu
,
Guanghan Xu
IEEE Transactions on Communications
1997
Corpus ID: 2901050
Space-division multiple-access (SDMA) schemes have been proposed to increase the capacity of wireless communication systems by…
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