Transcription and recognition of syllable based percussion patterns: the case of Beijing Opera

Mostra el registre complet Registre parcial de l'ítem

  • dc.contributor.author Srinivasamurthy, Ajayca
  • dc.contributor.author Caro Repetto, Rafaelca
  • dc.contributor.author Sundar, Harshavardhanca
  • dc.contributor.author Serra, Xavierca
  • dc.date.accessioned 2016-01-28T08:12:56Z
  • dc.date.available 2016-01-28T08:12:56Z
  • dc.date.issued 2014ca
  • dc.description.abstract In many cultures of the world, traditional percussion music/nuses mnemonic syllables that are representative of the timbres/nof instruments. These syllables are orally transmitted/nand often provide a language for percussion in those music/ncultures. Percussion patterns in these cultures thus have/na well defined representation in the form of these syllables,/nwhich can be utilized in several computational percussion/npattern analysis tasks. We explore a connected word/nspeech recognition based framework that can effectively/nutilize the syllabic representation for automatic transcription/nand recognition of audio percussion patterns. In particular,/nwe consider the case of Beijing opera and present/na syllable level hidden markov model (HMM) based system/nfor transcription and classification of percussion patterns./nThe encouraging classification results on a representative/ndataset of Beijing opera percussion patterns supports/nour approach and provides further insights on the utility of/nthese syllables for computational description of percussion/npatterns.
  • dc.description.sponsorship This work is partly supported by the European Research/nCouncil under the European Union’s Seventh Framework/nProgram, as a part of the CompMusic project (ERC grant/nagreement 267583)
  • dc.format.mimetype application/pdfca
  • dc.identifier.citation Srinivasamurthy A, Caro Repetto R, Sundar H, Serra X. Transcription and recognition of syllable based percussion patterns: the case of Beijing Opera. In: Proceedings of the 15th Conference of/nthe International Society for Music/nInformation Retrieval (ISMIR 2014); 2014 Oct 27-31; Taipei, Taiwan. Taipei: International Society for Music Information Retrieval; 2014. p. 431-436.ca
  • dc.identifier.uri http://hdl.handle.net/10230/25677
  • dc.language.iso engca
  • dc.publisher International Society for Music Information Retrieval (ISMIR)ca
  • dc.relation.ispartof Proceedings of the 15th Conference of/nthe International Society for Music/nInformation Retrieval (ISMIR 2014); 2014 Oct 27-31; Taipei, Taiwan. Taipei: International Society for Music Information Retrieval; 2014. p. 431-436.
  • dc.relation.isreferencedby http://hdl.handle.net/10230/25720
  • dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/ 267583ca
  • dc.rights © Ajay Srinivasamurthy, Rafael Caro Repetto, Harshavardhan/nSundar, Xavier Serra./nLicensed under a Creative Commons Attribution 4.0 International License/n(CC BY 4.0). Attribution: Ajay Srinivasamurthy, Rafael Caro Repetto,/nHarshavardhan Sundar, Xavier Serra. “Transcription and Recognition of/nSyllable Based Percussion Patterns: The Case of Beijing Opera”, 15th/nInternational Society for Music Information Retrieval Conference, 2014.ca
  • dc.rights.accessRights info:eu-repo/semantics/openAccessca
  • dc.rights.uri http://creativecommons.org/licenses/by/4.0/
  • dc.title Transcription and recognition of syllable based percussion patterns: the case of Beijing Operaca
  • dc.type info:eu-repo/semantics/conferenceObjectca
  • dc.type.version info:eu-repo/semantics/publishedVersionca