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| inria-00544194v1
Journal articles
Oracle estimators for the benchmarking of source separation algorithms Signal Processing, Elsevier, 2007, 87 (8), pp.1933--1950 |
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| hal-00474328v1
Conference papers
An L1 criterion for dictionary learning by subspace identification Acoustics, Speech and Signal Processing, IEEE Conference on (ICASSP'10), Mar 2010, Dallas, United States. pp.5482--5485 |
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| inria-00544176v1
Journal articles
Efficient Bayesian inference for harmonic models via adaptive posterior factorization Neurocomputing, Elsevier, 2008, 72, pp.79--87 |
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| inria-00544258v1
Journal articles
An adaptive stereo basis method for convolutive blind audio source separation Neurocomputing, Elsevier, 2008, 71 (10-12), pp.2087--2097 |
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| inria-00560110v1
Poster communications
Audio inpainting: problem statement, relation with sparse representations and some experiments SMALL Workshop on Sparse Dictionary Learning, Jan 2011, London, United Kingdom. 2011 |
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| inria-00545480v1
Poster communications
Audio inpainting: problem statement, relation with sparse representations and some experiments 9th Int. Conf. on Latent Variable Analysis and Signal Separation, Sep 2010, Saint-Malo, France. 2010 |
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| inria-00545156v1
Reports
Oracle estimators for the benchmarking of source separation algorithms [Research Report] C4DM-TR-06-03, 2006, pp.29 |
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| inria-00544030v1
Book sections
Audio source separation using sparse representations W. Wang. Machine Audition: Principles, Algorithms and Systems, IGI Global, pp.246--265, 2010, ⟨10.4018/978-1-61520-919-4.ch010⟩ |
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| inria-00544043v1
Book sections
Sound source separation U. Zölzer. DAFX - Digital Audio Effects, 2nd Edition, Wiley, pp.551-588, 2011 |
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| inria-00544188v1
Conference papers
Oracle evaluation of flexible adaptive transforms for underdetermined audio source separation UK ICA Research Network International Workshop, Sep 2008, Liverpool, United Kingdom |
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| inria-00142935v2
Reports
Efficient Bayesian inference for harmonic models via adaptive posterior factorization [Research Report] PI 1841, 2007, pp.20 |
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| inria-00544193v1
Book sections
Blind source separation using space-time independent component analysis S. Makino, T.-W. Lee and H. Sawada. Blind speech separation, Springer, pp.79--99, 2007, ⟨10.1007/978-1-4020-6479-1_3⟩  |
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| inria-00544153v1
Conference papers
Extension of sparse, adaptive signal decompositions to semi-blind audio source separation 8th Int. Conf. on Independent Component Analysis and Signal Separation (ICA), Mar 2009, Paraty, Brazil. pp.605--612 |
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| inria-00544160v1
Conference papers
Benchmarking flexible adaptive time-frequency transforms for underdetermined audio source separation 2009 IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP), Apr 2009, Taipei, Taiwan. pp.37--40 |
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| inria-00544224v1
Conference papers
Object-coding for resolution-free musical audio 31st AES Int. Conf. on new directions in high resolution audio, Jun 2007, London, United Kingdom |
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| inria-00544016v1
Book sections
Probabilistic modeling paradigms for audio source separation W. Wang. Machine Audition: Principles, Algorithms and Systems, IGI Global, pp.162--185, 2010, ⟨10.4018/978-1-61520-919-4.ch007⟩ |
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| hal-01945362v1
Conference papers
SiSEC 2018: State of the art in musical audio source separation - subjective selection of the best algorithm WIMP: Workshop on Intelligent Music Production, Sep 2018, Huddersfield, United Kingdom |
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| hal-01945345v1
Journal articles
Musical Source Separation: An Introduction IEEE Signal Processing Magazine, Institute of Electrical and Electronics Engineers, 2019, 36 (1), pp.31-40. ⟨10.1109/MSP.2018.2874719⟩ |
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| hal-01410176v1
Conference papers
Evaluation of Audio Source Separation Models Using Hypothesis-Driven Non-Parametric Statistical Methods European Signal Processing Conference, EURASIP, Aug 2016, Budapest, Hungary |
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