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

Srinivasamurthy, Ajay; Caro Repetto, Rafael; Sundar, Harshavardhan; Serra, Xavier

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

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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.

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.