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Published in:
2015 | OriginalPaper | Chapter
Violin Fingering Estimation According to the Performer’s Skill Level Based on Conditional Random Field
Authors : Shinji Sako, Wakana Nagata, Tadashi Kitamura
Published in: Human-Computer Interaction: Interaction Technologies
Publisher: Springer International Publishing
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Abstract
In this paper, we propose a method that estimates appropriate violin fingering according to the performer’s skill level based on a conditional random field (CRF). A violin is an instrument that can produce the same pitch for different fingering patterns, and these patterns depend on skill level. We previously proposed a statistical method for violin fingering estimation, but that method required a certain amount of training data in the form of fingering annotation corresponding to each note in the music score. This was a major issue of our previous method, because it takes time and effort to produce the annotations. To solve this problem, we proposed a method to automatically generate training data for a fingering model using existing violin textbooks. Our experimental results confirmed the effectiveness of the proposed method.