Score-informed syllable segmentation for Jingju a cappella singing voice with Mel-frequency intensity profiles

Mostra el registre complet Registre parcial de l'ítem

• dc.contributor.author Gong, Rongca
• dc.contributor.author Obin, Nicolasca
• dc.contributor.author Dzhambazov, Georgi Bogomilovca
• dc.contributor.author Serra, Xavierca
• dc.date.accessioned 2018-08-22T09:29:21Z
• dc.date.available 2018-08-22T09:29:21Z
• dc.date.issued 2017
• dc.description Comunicació presentada al International Workshop on Folk Music Analysis, celebrat del 14 al 16 de juny a Màlaga, Espanya.
• dc.description.abstract This paper introduces a new unsupervised and score-informed method for the segmentation of singing voice into syllables. The main idea of the proposed method is to detect the syllable onset on a probability density function by incorporating a priori syllable duration derived from the score. Firstly, intensity profiles are used to exploit the characteristics of singing voice depending on the Mel-frequency regions. Then, the syllable onset probability density function is obtained by selecting candidates over the intensity profiles and weighted for the purpose of emphasizing the onset regions. Finally, the syllable duration distribution shaped by the score is incorporated into Viterbi decoding to determine the optimal sequence of onset time positions. The proposed method outperforms conventional methods for the segmentation of syllable on a jingju (also known as Peking or Beijing opera) a cappella dataset. An analysis is conducted on precision errors to provide direction for future improvement.
• dc.description.sponsorship This work is partly supported by the European Research Council under the European Union’s Seventh Framework Program, as part of the CompMusic project (ERC grand agreement 267583).
• dc.format.mimetype application/pdf
• dc.identifier.citation Gong R, Obin N, Dzhambazov G, Serra X. Score-informed syllable segmentation for Jingju a cappella singing voice with Mel-frequency intensity profiles. In: Barbancho I, Tardón LJ, Peinado A, editors. Proceedings of the 7th International Workshop on Folk Music Analysis; 2017 Jun 14-16; Málaga, Spain. Málaga: FMA; 2017. p. 107-13.
• dc.identifier.isbn 978-84-697-2303-6
• dc.identifier.uri http://hdl.handle.net/10230/35346
• dc.language.iso eng
• dc.publisher Folk Music Analysisca
• dc.relation.ispartof In: Barbancho I, Tardón LJ, Peinado A, editors. Proceedings of the 7th International Workshop on Folk Music Analysis; 2017 Jun 14-16; Málaga, Spain. Málaga: FMA; 2017.
• dc.relation.isreferencedby http://doi.org/10.5281/zenodo.345490
• dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/267583
• dc.rights © Folk Music Analysis
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.title Score-informed syllable segmentation for Jingju a cappella singing voice with Mel-frequency intensity profilesca
• dc.type info:eu-repo/semantics/conferenceObject
• dc.type.version info:eu-repo/semantics/publishedVersion