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hal-00474328v1  Conference papers
Florent JailletRémi GribonvalMark PlumbleyHadi Zayyani. 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-00544153v1  Conference papers
Andrew NesbitEmmanuel VincentMark Plumbley. 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
Andrew NesbitEmmanuel VincentMark Plumbley. 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-00544188v1  Conference papers
Andrew NesbitMark PlumbleyEmmanuel Vincent. 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-00544224v1  Conference papers
Stephen WelburnMark PlumbleyEmmanuel Vincent. 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-00545480v1  Poster communications
Amir AdlerValentin EmiyaMaria JafariMichael EladRémi Gribonval et al.  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-00560110v1  Poster communications
Amir AdlerValentin EmiyaMaria JafariMichael EladRémi Gribonval et al.  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-00544016v1  Book sections
Emmanuel VincentMaria JafariSamer AbdallahMark PlumbleyMike Davies. 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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inria-00544030v1  Book sections
Andrew NesbitMaria JafariEmmanuel VincentMark Plumbley. 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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hal-01945345v1  Journal articles
Estefania CanoDerry FitzgeraldAntoine LiutkusMark PlumbleyFabian-Robert Stöter. 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-02191302v1  Conference papers
Antoine LiutkusUmut ImşekliSzymon MajewskiAlain DurmusFabian-Robert Stöter. Sliced-Wasserstein Flows: Nonparametric Generative Modeling via Optimal Transport and Diffusions
36th International Conference on Machine Learning (ICML), Jun 2019, Long Beach, United States