Abstract
This paper proposes an annotation method for integrating the knowledge of musical techniques and musical structures. We have attempted to support musical instrument performances from the viewpoint of knowledge engineering. We focused on classical guitar, which requires many techniques, and developed guitar rendition ontology that can serve as a guideline for classical guitar performances at teaching and learning sites. In order to effectively use ontology knowledge at the sites, we need to connect it with musical structures so that the ontology data can be integrated with musical score information. Therefore, we propose a method that annotates the knowledge related to musical techniques to time-span trees obtained from time-span analysis based on the generative theory of tonal music (GTTM). We experimented with several bars of four guitar pieces and investigated how much the knowledge, which is executed with more than two notes, can add to time-span trees. Our results showed that about 76% of the ontology knowledge corresponded with the structure of time-span trees.
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Acknowledgements
This work was supported by JSPS KAKENHI, Grant Numbers 17H01847 and 16H01744.
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Iino, N., Shimada, M., Nishimura, T., Takeda, H., Hamanaka, M. (2019). Proposal of an Annotation Method for Integrating Musical Technique Knowledge Using a GTTM Time-Span Tree. In: Kompatsiaris, I., Huet, B., Mezaris, V., Gurrin, C., Cheng, WH., Vrochidis, S. (eds) MultiMedia Modeling. MMM 2019. Lecture Notes in Computer Science(), vol 11295. Springer, Cham. https://doi.org/10.1007/978-3-030-05710-7_51
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DOI: https://doi.org/10.1007/978-3-030-05710-7_51
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