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Enforcing Harmonicity and Smoothness in Bayesian Non-negative Matrix Factorization Applied to Polyphonic Music Transcription

Nancy Bertin 1 Roland Badeau 2 Emmanuel Vincent 1
1 METISS - Speech and sound data modeling and processing
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
2 LTCI - Laboratoire Traitement et Communication de l'Information
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https://hal.inria.fr/inria-00557088
Contributor : Nancy Bertin <>
Submitted on : Tuesday, January 18, 2011 - 2:48:09 PM
Last modification on : Thursday, March 5, 2020 - 3:53:10 PM

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CNRS | INRIA | UNIV-RENNES1 | INSTITUT-TELECOM | PARISTECH | IRISA | IRISA-D5 | UR1-UFR-ISTIC | UNIV-RENNES | INSA-GROUPE | LTCI

Citation

Nancy Bertin, Roland Badeau, Emmanuel Vincent. Enforcing Harmonicity and Smoothness in Bayesian Non-negative Matrix Factorization Applied to Polyphonic Music Transcription. IEEE Transactions on Audio, Speech and Language Processing, Institute of Electrical and Electronics Engineers, 2010, 18 (3), pp.538-549. ⟨10.1109/TASL.2010.2041381⟩. ⟨inria-00557088⟩

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