Título:
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Predicting pairwise pitch contour relations based on linguistic tone information in Beijing opera singing
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Autor/a:
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Zhang, Shuo; Caro Repetto, Rafael; Serra, Xavier
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Abstract:
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Comunicació presentada a la 16th International Society for Music Information Retrieval Conference (ISMIR 2015), celebrada els dies 26 a 30 d'octubre de 2015 a Màlaga, Espanya. |
Abstract:
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The similarity between linguistic tones and melodic pitch
contours in Beijing Opera can be captured either by the
contour shape of single syllable units, or by the pairwise
pitch height relations in adjacent syllable units. In this
paper, we investigate the latter problem with a novel machine
learning approach, using techniques from time series
data mining. Approximately 1300 pairwise contour
segments are extracted from a selection of 20 arias. We
then formulate the problem as a supervised machinelearning
task of predicting types of pairwise melodic relations
based on linguistic tone information. The results
give a comparative view of fixed and mixed-effects models
that achieved around 70% of maximum accuracy. We
discuss the superiority of the current method to that of the
unsupervised learning in single-syllable-unit contour
analysis of similarity in Beijing Opera. |
Abstract:
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This research was funded by the European Research
Council under the European Union Seventh Framework
Program, as part of the CompMusic Project (ERC grant
agreement 267583). |
Derechos:
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© Shuo Zhang, Rafael Caro Repetto, Xavier Serra.
Licensed under a Creative Commons Attribution 4.0 International
License (CC BY 4.0). Attribution: Shuo Zhang, Rafael Caro Repetto,
Xavier Serra. “PREDICTING PAIRWISE PITCH CONTOUR
RELATIONS BASED ON LINGUISTIC TONE INFORMATION IN
BEIJING OPERA SINGING”, 16th International Society for Music
Information Retrieval Conference, 2015.
https://creativecommons.org/licenses/by/4.0/
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Tipo de documento:
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Objeto de conferencia Artículo - Versión publicada |
Editor:
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International Society for Music Information Retrieval (ISMIR)
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