Títol:
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Discovery of syllabic percussion patterns in tabla solo recordings
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Autor/a:
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Gupta, Swapnil; Srinivasamurthy, Ajay; Kumar, Manoj; Murthy, Hema A.; Serra, Xavier
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Abstract:
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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. |
Abstract:
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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) |
Drets:
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© 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.
https://creativecommons.org/licenses/by/4.0/
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Tipus de document:
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Objecte de conferència Article - Versió publicada |
Publicat per:
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International Society for Music Information Retrieval (ISMIR)
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