Abstract
In this paper, we present a music search system that focuses on performance style to cultivate a pupil’s expressive performance of music. The system allows pupils to learn the performance style to be mastered by obtaining both model and non-model content. By browsing non-model content that is similar to the quality of a pupil’s performance, the pupil can quickly identify his/her areas that require improvement. In addition, the pupil can improve his/her performance skill by repeatedly imitating the models. We evaluate the capabilities of our music search system regarding the extraction of performance style from a classical music source and the precision of the music search results for performance style.
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Mikami, T., Takano, K. (2014). A Music Search System for Expressive Music Performance Learning. In: Yamamoto, S. (eds) Human Interface and the Management of Information. Information and Knowledge in Applications and Services. HIMI 2014. Lecture Notes in Computer Science, vol 8522. Springer, Cham. https://doi.org/10.1007/978-3-319-07863-2_9
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DOI: https://doi.org/10.1007/978-3-319-07863-2_9
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