Siamese Residual Neural Network for Musical Shape Evaluation in Piano Performance Assessment
Xiaoquan Li,
Stephan Weiss,
Yijun Yan
et al.
Abstract:Understanding and identifying musical shape plays an important role in music education and performance assessment. To simplify the otherwise time-and cost-intensive musical shape evaluation, in this paper we explore how artificial intelligence (AI) driven models can be applied. Considering musical shape evaluation as a classification problem, a light-weight Siamese residual neural network (S-ResNN) is proposed to automatically identify musical shapes. To assess the proposed approach in the context of piano mus… Show more
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