Títol:
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Jazz ensemble expressive performance modeling
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Autor/a:
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Bantula, Helena; Giraldo, Sergio; Ramírez, Rafael,1966-
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Abstract:
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Comunicació presentada a la 17th International Society for Music Information Retrieval Conference (ISMIR 2016), celebrada els dies 7 a 11 d'agost de 2016 a Nova York, EUA. |
Abstract:
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Computational expressive music performance studies
the analysis and characterisation of the deviations that a
musician introduces when performing a musical piece. It
has been studied in a classical context where timing and
dynamic deviations are modeled using machine learning
techniques. In jazz music, work has been done previously
on the study of ornament prediction in guitar performance,
as well as in saxophone expressive modeling. However,
little work has been done on expressive ensemble performance.
In this work, we analysed the musical expressivity
of jazz guitar and piano from two different perspectives:
solo and ensemble performance. The aim of this paper is to
study the influence of piano accompaniment into the performance
of a guitar melody and vice versa. Based on a
set of recordings made by professional musicians, we extracted
descriptors from the score, we transcribed the guitar
and the piano performances and calculated performance
actions for both instruments. We applied machine learning
techniques to train models for each performance action,
taking into account both solo and ensemble descriptors.
Finally, we compared the accuracy of the induced models.
The accuracy of most models increased when ensemble information
was considered, which can be explained by the
interaction between musicians. |
Abstract:
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This work has been partly sponsored by the Spanish TIN project TIMUL (TIN2013-48152-C2-2-R) and the H2020-ICT-688269 TELMI project. |
Matèries:
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-Música -- Anàlisi |
Drets:
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Licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). Attribution: . “Jazz Ensemble Expressive Performance Modeling”, 17th International Society for Music Information Retrieval Conference, 2016.
http://creativecommons.org/licenses/by/4.0/ |
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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