Reports of the Technical Conference of the Institute of Image Electronics Engineers of Japan
Online ISSN : 2758-9218
Print ISSN : 0285-3957
Session ID : 14-03-30
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SeeGroove: Supporting Groove Learning through Visualization
*Naoki HAGAMasanori NAKAYAMAIssei FUJISHIRO
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Abstract
“Groove” is a global feature of musical performance which generalizes surges of a sound stemming from a sense of propulsive rhythmic feel and giving rise to togetherness. Groove is an essential element for a good performance, though it is claimed that some degree of musical expertise is needed for expression of groove at will. In this work, we propose a general visualization system, called SeeGroove, that allows performers to efficiently comprehend groove in various music genres. For each genre, a MIDI dataset extracted from actual performances of professional players is stored. The system takes the differences between the chosen genre template and the input performance dataset to quantify the degree of its groove. To visualize the differences, the user is allowed to rely on any combination of two modes and two views of designated visualization in accordance with his/her preferences and target information.
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© 2015 by The Institute of Image Electronics Engineers of Japan
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