Welcome to the UPF Digital Repository

Melody extraction based on a source-filter model using pitch contour selection

Show simple item record

dc.contributor.author Bosch, Juan J.
dc.contributor.author Gómez Gutiérrez, Emilia, 1975-
dc.date.accessioned 2016-10-04T12:10:04Z
dc.date.available 2016-10-04T12:10:04Z
dc.date.issued 2016
dc.identifier.citation Bosch JJ, Gómez E. Melody extraction based on a source-filter model using pitch contour selection. In: Großmann R, Hajdu G, editors. Proceedings SMC 2016. 13th Sound and Music Computing Conference; 2016 Aug 31 - Sept 3; Hamburg, Germany. Hamburg: Zentrum für Mikrotonale Musik und Multimediale Komposition (ZM4). Hochschule für Musik und Theater; 2016. p.67-74.
dc.identifier.issn 2518-3672
dc.identifier.uri http://hdl.handle.net/10230/27373
dc.description.abstract This work proposes a melody extraction method which combines a pitch salience function based on source-filter modelling with melody tracking based on pitch contour selection. We model the spectrogram of a musical audio signal as the sum of the leading voice and accompaniment. The leading voice is modelled with a Smoothed Instantaneous Mixture Model (SIMM), and the accompaniment is modelled with a Non-negative Matrix Factorization (NMF). The main benefit of this representation is that it incorporates timbre information, and that the leading voice is enhanced, even without an explicit separation from the rest of the signal. Two different salience functions based on SIMM are proposed, in order to adapt the output of such model to the pitch contour based tracking. Candidate melody pitch contours are then created by grouping pitch sequences, using auditory streaming cues. Finally, melody pitch contours are selected using a set of heuristic rules based on contour characteristics and smoothness constraints. The evaluation on a large set of challenging polyphonic music material, shows that the proposed salience functions help increasing the salience of melody pitches in comparison to similar methods. The complete melody extraction methods also achieve a higher overall accuracy than state-of-the-art approaches when evaluated on both vocal and instrumental music.
dc.description.sponsorship This work is partially supported by the European Union under the PHENICX project (FP7-ICT-601166) and the Spanish Ministry of Economy and Competitiveness under CASAS project (TIN2015-70816-R) and Maria de Maeztu Units of Excellence Programme (MDM-2015-0502).
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher Hamburg: Zentrum für Mikrotonale Musik und Multimediale Komposition (ZM4). Hochschule für Musik und Theater
dc.relation.ispartof Proceedings SMC 2016. 13th Sound and Music Computing Conference; 2016 Aug 31 - Sept 3; Hamburg, Germany. Hamburg: Zentrum für Mikrotonale Musik und Multimediale Komposition (ZM4). Hochschule für Musik und Theater; 2016. p.67-74
dc.rights © 2016 Juan J. Bosch et al. This is an open-access article distributed under the terms of the Creative Commons Attribution 3.0 Unported License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
dc.rights.uri http://creativecommons.org/licenses/by/3.0/
dc.subject.other So -- Enregistrament i reproducció
dc.subject.other Música
dc.title Melody extraction based on a source-filter model using pitch contour selection
dc.type info:eu-repo/semantics/conferenceObject
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/601166
dc.relation.projectID info:eu-repo/grantAgreement/ES/1PE/TIN2015-70816
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/publishedVersion


This item appears in the following Collection(s)

Show simple item record

Search DSpace


Advanced Search

Browse

My Account

Statistics

Compliant to Partaking