Exploring Effective Feature Quantities for Machine Learning to Predict Developmental Degree of Musical Expression in Early Childhood: A Recent Study

In order to create an evaluation model based on those feature quantities, this study aims to identify the developmental features of musical expression in young children from the perspective of changing body movement aspects. In this study, the author examined

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Predicting Developmental Degrees of Music Expression in Early Childhood by Machine Learning Classifiers with 3D Motion Captured Body Movement Data: A Recent Study

Researchers have continued to be intrigued by the interaction between a child's developmental level of music and their musical output. Currently, one notable part will be to study such connection using a quantitative technique and to discover some predicted methodology

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