Welcome to the UPF Digital Repository

Discovery of syllabic percussion patterns in tabla solo recordings

Show simple item record

dc.contributor.author Gupta, Swapnil
dc.contributor.author Srinivasamurthy, Ajay
dc.contributor.author Kumar, Manoj
dc.contributor.author Murthy, Hema A.
dc.contributor.author Serra, Xavier
dc.date.accessioned 2016-01-29T08:03:41Z
dc.date.available 2016-01-29T08:03:41Z
dc.date.issued 2015
dc.identifier.citation Gupta S, Srinivasamurthy A, Kumar M, Murthy HA, Serra X. Discovery of syllabic percussion patterns in tabla solo recordings. In: Proceedings of the 16th International Society for Music Information Retrieval Conference (ISMIR); 2015 Oct 26-30; Málaga, Spain. [Málaga]: International Society for Music Information Retrieval, 2015. p. 385-391.
dc.identifier.uri http://hdl.handle.net/10230/25697
dc.description.abstract We address the unexplored problem of percussion pattern/ndiscovery in Indian art music. Percussion in Indian art music uses onomatopoeic oral mnemonic syllables for the transmission of repertoire and technique. This is utilized for the/ntask of percussion pattern discovery from audio recordings./nFrom a parallel corpus of audio and expert curated scores/nfor 38 tabla solo recordings, we use the scores to build a/nset of most frequent syllabic patterns of different lengths./nFrom this set, we manually select a subset of musically representative query patterns. To discover these query patterns/nin an audio recording, we use syllable-level hidden Markov/nmodels (HMM) to automatically transcribe the recording/ninto a syllable sequence, in which we search for the query/npattern instances using a Rough Longest Common Subsequence (RLCS) approach. We show that the use of RLCS/nmakes the approach robust to errors in automatic transcrip-/ntion, significantly improving the pattern recall rate and F-/nmeasure. We further propose possible enhancements to improve the results.
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/pdf
dc.language.iso eng
dc.publisher International Society for Music Information Retrieval (ISMIR)
dc.relation.ispartof Proceedings of the 16th International Society for Music Information Retrieval Conference (ISMIR); 2015 Oct 26-30; Málaga, Spain. [Málaga]: International Society for Music Information Retrieval, 2015. p. 385-391.
dc.rights © Swapnil Gupta, Ajay Srinivasamurthy, Manoj Kumar,/nHema A. Murthy, Xavier Serra./nLicensed under a Creative Commons Attribution 4.0 International License/n(CC BY 4.0). Attribution: Swapnil Gupta, Ajay Srinivasamurthy,/nManoj Kumar, Hema A. Murthy, Xavier Serra. “Discovery of Syllabic/nPercussion Patterns in Tabla Solo Recordings”, 16th International Society/nfor Music Information Retrieval Conference, 2015.
dc.rights.uri https://creativecommons.org/licenses/by/4.0/
dc.title Discovery of syllabic percussion patterns in tabla solo recordings
dc.type info:eu-repo/semantics/conferenceObject
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/267583
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