Gupta, SwapnilSrinivasamurthy, AjayKumar, ManojMurthy, Hema A.Serra, Xavier2016-01-292016-01-292015Gupta 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.http://hdl.handle.net/10230/25697We 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.application/pdfeng© 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.info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/openAccess