Improving score-informed source separation for classical music through note refinement
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- dc.contributor.author Miron, Marius
- dc.contributor.author Carabias Orti, Julio J.
- dc.contributor.author Janer Mestres, Jordi
- dc.date.accessioned 2020-02-28T09:51:30Z
- dc.date.available 2020-02-28T09:51:30Z
- dc.date.issued 2015
- dc.description Comunicació presentada a la 16th International Society for Music Information Retrieval Conference (ISMIR 2015), celebrada els dies 26 a 30 d'octubre de 2015 a Màlaga, Espanya.
- dc.description.abstract Signal decomposition methods such as Non-negative Matrix Factorization (NMF) demonstrated to be a suitable approach for music signal processing applications, including sound source separation. To better control this decomposition, NMF has been extended using prior knowledge and parametric models. In fact, using score information considerably improved separation results. Nevertheless, one of the main problems of using score information is the misalignment between the score and the actual performance. A potential solution to this problem is the use of audio to score alignment systems. However, most of them rely on a tolerance window that clearly affects the separation results. To overcome this problem, we propose a novel method to refine the aligned score at note level by detecting both, onset and offset for each note present in the score. Note refinement is achieved by detecting shapes and contours in the estimated instrument-wise time activation (gains) matrix. Decomposition is performed in a supervised way, using training instrument models and coarsely-aligned score information. The detected contours define time-frequency note boundaries, and they increase the sparsity. Finally, we have evaluated our method for informed source separation using a dataset of Bach chorales obtaining satisfactory results, especially in terms of SIR.
- dc.description.sponsorship This work was supported by the European Commission, FP7 (Seventh Framework Programme), STREP project, ICT- 2011.8.2 ICT for access to cultural resources, grant agreement No 601166. Phenicx Project
- dc.format.mimetype application/pdf
- dc.identifier.citation Miron M, Carabias-Orti JJ, Janer J. Improving score-informed source separation for classical music through note refinement. In: Müller M, Wiering F, editors. Proceedings of the 16th International Society for Music Information Retrieval (ISMIR) Conference; 2015 Oct 26 - 30; Málaga, Spain. Canada: International Society for Music Information Retrieval; 2015. p. 448-54.
- dc.identifier.uri http://hdl.handle.net/10230/43741
- dc.language.iso eng
- dc.publisher International Society for Music Information Retrieval (ISMIR)
- dc.relation.ispartof Müller M, Wiering F, editors. Proceedings of the 16th International Society for Music Information Retrieval (ISMIR) Conference; 2015 Oct 26 - 30; Málaga, Spain. Canada: International Society for Music Information Retrieval; 2015.
- dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/601166
- dc.rights © Marius Miron, Julio Jose Carabias-Orti, Jordi Janer. Licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). Attribution: Marius Miron, Julio Jose Carabias-Orti, Jordi Janer. “Improving score-informed source separation for classical music through note refinement”, 16th International Society for Music Information Retrieval Conference, 2015.
- dc.rights.accessRights info:eu-repo/semantics/openAccess
- dc.rights.uri https://creativecommons.org/licenses/by/4.0/
- dc.subject.keyword Source separation
- dc.title Improving score-informed source separation for classical music through note refinement
- dc.type info:eu-repo/semantics/conferenceObject
- dc.type.version info:eu-repo/semantics/publishedVersion