Automatic transcription of flamenco singing from polyphonic music recordings

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• dc.contributor.author Kroher, Nadineca
• dc.contributor.author Gómez Gutiérrez, Emilia, 1975-ca
• dc.date.accessioned 2017-11-13T09:37:00Z
• dc.date.available 2017-11-13T09:37:00Z
• dc.date.issued 2016
• dc.description.abstract Automatic note-level transcription is considered one of the most challenging tasks in music information retrieval. The specific case of flamenco singing transcription poses a particular challenge due to its complex melodic progressions, intonation inaccuracies, the use of a high degree of ornamentation, and the presence of guitar accompaniment. In this study, we explore the limitations of existing state of the art transcription systems for the case of flamenco singing and propose a specific solution for this genre: We first extract the predominant melody and apply a novel contour filtering process to eliminate segments of the pitch contour which originate from the guitar accompaniment. We formulate a set of onset detection functions based on volume and pitch characteristics to segment the resulting vocal pitch contour into discrete note events. A quantised pitch label is assigned to each note event by combining global pitch class probabilities with local pitch contour statistics. The proposed system outperforms state of the art singing transcription systems with respect to voicing accuracy, onset detection, and overall performance when evaluated on flamenco singing datasets.en
• dc.description.sponsorship This work was supported in part by the Ph.D. Fellowship of the Department of Information and Communication Technologies, Universitat Pompeu Fabra and in part by the projects SIGMUS (TIN2012-36650) and COFLA II (P12-TIC-1362).
• dc.format.mimetype application/pdfca
• dc.identifier.citation Kroher N, Gómez E. Automatic transcription of flamenco singing from polyphonic music recordings. IEEE/ACM Trans Audio, Speech, Language Process. 2016;24(5): 901-13. DOI: 10.1109/TASLP.2016.2531284
• dc.identifier.doi http://dx.doi.org/10.1109/TASLP.2016.2531284
• dc.identifier.issn 2329-9290
• dc.identifier.uri http://hdl.handle.net/10230/33199
• dc.language.iso eng
• dc.publisher Institute of Electrical and Electronics Engineers (IEEE)ca
• dc.relation.ispartof IEEE/ACM Transactions on Audio, Speech, and Language Processing. 2016;24(5): 901-13.
• dc.relation.projectID info:eu-repo/grantAgreement/ES/3PN/TIN2012-36650
• dc.rights © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The final published article can be found at http://ieeexplore.ieee.org/document/7410016/
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.subject.keyword Automatic music transcriptionen
• dc.subject.keyword Music information retrievalen
• dc.subject.keyword Singing voiceen
• dc.subject.keyword Pitch contouren
• dc.subject.keyword Audio content descriptionen
• dc.title Automatic transcription of flamenco singing from polyphonic music recordingsca
• dc.type info:eu-repo/semantics/article
• dc.type.version info:eu-repo/semantics/acceptedVersion