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- W2322903084 abstract "Many musicians agree that some music recital performances seem more academic than artistic. These performances fail to convey the character of the music. An important aspect of teaching music is to develop abilities of students in musical expression. Performance studies have shown that music teachers and students are often unaware of tools they could utilize to develop musical expression. In order to find a solution to this problem, this paper based its groundwork on Patrick Juslin’s GERMS model. The GERMS model provides a mechanism to conceptualize musical expressions as a multi-dimensional phenomenon. In this work we introduce an innovative visualization model named EmoGraph that can be used to visualize the emotional expression aspects of music scores using the GERMS model in order to help the students grasp the cues of musical expressions. This visualization tool helps to capture the cues for emotional expressions in a musical score for the purpose of using it as a teaching tool to teach musical expressions. This work also introduces an experimental setup that can be used to evaluate the effectiveness of the proposed teaching tool at an undergraduate academic environment. DOI: http://dx.doi.org/10.4995/HEAd15.2015.471" @default.
- W2322903084 created "2016-06-24" @default.
- W2322903084 creator A5039132583 @default.
- W2322903084 date "2015-06-24" @default.
- W2322903084 modified "2023-09-30" @default.
- W2322903084 title "Teaching Musical Expression through Visualization of Musical Cues" @default.
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- W2322903084 doi "https://doi.org/10.4995/head15.2015.471" @default.
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