Título:
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Study of the similarity between linguistic tones and melodic pitch contours 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 15th International Society for Music Information Retrieval Conference (ISMIR 2014), celebrada els dies 27 a 31 d'octubre de 2014 a Taipei, Taiwan. |
Abstract:
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Features of linguistic tone contours are important factors that shape the distinct melodic characteristics of different genres of Chinese opera. In Beijing opera, the presence of a two-dialectal tone system makes the tone-melody relationship more complex. In this paper, we propose a novel data-driven approach to analyze syllable-sized tone-pitch contour similarity in a corpus of Beijing Opera (381 arias) with statistical modeling and machine learning methods. A total number of 1,993 pitch contour units and attributes were extracted from a selection of 20 arias. We then build Smoothing Spline ANOVA models to compute matrixes of average melodic contour curves by tone category and other attributes. A set of machine learning and statistical analysis methods are applied to 30-point pitch contour vectors as well as dimensionality-reduced representations using Symbolic Aggregate approXimation(SAX). The results indicate an even mixture of shapes within all tone categories, with the absence of evidence for a predominant dialectal tone system in Beijing opera. We discuss the key methodological issues in melody-tone analysis and future work on pair-wise contour unit analysis. |
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). |
Materia(s):
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-Jingju -Peking opera -Tones and melody relationship |
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).
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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