Analysis of expressive musical terms in violin using score-informed and expression-based audio features

Pei Ching Li, Li Su, Yi Hsuan Yang, Alvin W.Y. Su

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The manipulation of different interpretational factors, including dynamics, duration, and vibrato, constitutes the realization of different expressions in music. Therefore, a deeper understanding of the workings of these factors is critical for advanced expressive synthesis and computer-aided music education. In this paper, we propose the novel task of automatic expressive musical term classification as a direct means to study the interpretational factors. Specifically, we consider up to 10 expressive musical terms, such as Scherzando and Tranquillo, and compile a new dataset of solo violin excerpts featuring the realization of different expressive terms by different musicians for the same set of classical music pieces. Under a score-informed scheme, we design and evaluate a number of note-level features characterizing the interpretational aspects of music for the classification task. Our evaluation shows that the proposed features lead to significantly higher classification accuracy than a baseline feature set commonly used in music information retrieval tasks. Moreover, taking the contrast of feature values between an expressive and its corresponding non-expressive version (if given) of a music piece greatly improves the accuracy in classifying the presented expressive one. We also draw insights from analyzing the feature relevance and the class-wise accuracy of the prediction.

Original languageEnglish
Title of host publicationProceedings of the 16th International Society for Music Information Retrieval Conference, ISMIR 2015
EditorsMeinard Muller, Frans Wiering
PublisherInternational Society for Music Information Retrieval
Pages809-815
Number of pages7
ISBN (Electronic)9788460688532
Publication statusPublished - 2015 Jan 1
Event16th International Society for Music Information Retrieval Conference, ISMIR 2015 - Malaga, Spain
Duration: 2015 Oct 262015 Oct 30

Publication series

NameProceedings of the 16th International Society for Music Information Retrieval Conference, ISMIR 2015

Conference

Conference16th International Society for Music Information Retrieval Conference, ISMIR 2015
CountrySpain
CityMalaga
Period15-10-2615-10-30

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All Science Journal Classification (ASJC) codes

  • Music
  • Information Systems

Cite this

Li, P. C., Su, L., Yang, Y. H., & Su, A. W. Y. (2015). Analysis of expressive musical terms in violin using score-informed and expression-based audio features. In M. Muller, & F. Wiering (Eds.), Proceedings of the 16th International Society for Music Information Retrieval Conference, ISMIR 2015 (pp. 809-815). (Proceedings of the 16th International Society for Music Information Retrieval Conference, ISMIR 2015). International Society for Music Information Retrieval.