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Oracle estimators for the benchmarking of source separation algorithms

Emmanuel Vincent 1 Rémi Gribonval 2 Mark Plumbley 1
1 Centre for Digital Music
2 METISS - Speech and sound data modeling and processing
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
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https://hal.inria.fr/inria-00545156
Contributor : Emmanuel Vincent Connect in order to contact the contributor
Submitted on : Thursday, December 9, 2010 - 5:02:22 PM
Last modification on : Wednesday, June 16, 2021 - 3:41:16 AM

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  • HAL Id : inria-00545156, version 1

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CNRS | INRIA | UNIV-RENNES1 | IRISA | IRISA-D5 | LARA | UR1-MATH-STIC | UR1-UFR-ISTIC | UNIV-RENNES | INSA-GROUPE | INSA-RENNES | EC-PARIS | UR1-MATH-NUM

Citation

Emmanuel Vincent, Rémi Gribonval, Mark Plumbley. Oracle estimators for the benchmarking of source separation algorithms. [Research Report] C4DM-TR-06-03, 2006, pp.29. ⟨inria-00545156⟩

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