Paper Info
Title
Apollon13: a training system for emergency situations in a piano performance
Abstract
During a piano performance, there is always the possibility that the musician will cease playing on account of an unexpected mistake. In a concert, such a situation amounts to an emergency state in the piano performance. Therefore, we propose a system named "Apollon13" that simulates emergency states by replacing particular notes with different ones, in the manner of mistouches, by referring to the performer's degree of proficiency as determined by a performance estimation algorithm. From the results of user studies, we confirmed that Apollon13 is basically effective as a training system for handling emergency states. However, the estimation algorithm could not precisely identify the note-replacement points where the subjects become upset. Accordingly, we evaluated the estimation algorithm by comparing it with the player's subjective assessment based on the data of an experiment. As a result, we found a clear relationship between the subjective assessment and the points, obtained by experiment, at which players become upset. This result suggests that an algorithm could gain the ability to detect the "upset points" by approximating a human's subjective assessment.
Year
DOI
Venue
2010
10.1007/978-3-642-15470-6_26
active media technology
Keywords
DocType
Volume
upset point,performance estimation algorithm,subjective assessment,piano performance,training system,note-replacement point,clear relationship,particular note,emergency situation,estimation algorithm,emergency state
Conference
6335.0
ISSN
ISBN
Citations 
0302-9743
3-642-15469-7
0
PageRank 
References 
Authors
0.34
3
2
Name
Order
Citations
PageRank
Yuki Yokoyama100.34
Kazushi Nishimoto213581.09