SeeGroove: Supporting Groove Learning through Visualization

SeeGroove: Supporting Groove Learning through Visualization
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SeeGroove:通过可视化支持 Groove 学习

DOI:
10.1109/cw.2015.65
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发表时间:
2015
期刊:
International Conference on Cyberworlds
影响因子:
--
通讯作者:
Masanori Nakayama
Masanori Nakayama
中科院分区:
--
文献类型:
--
作者:
I. Fujishiro;Naoki Haga;Masanori Nakayama

文献摘要

被引文献

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“Groove”是音乐表演的一个全球性特征,它概括了声音的波浪感、推进的节奏感、动感和融合性,以反映整体的节奏愉悦。凹槽对于良好的性能是至关重要的,尽管有人认为,要想随意地表达凹槽,需要积累足够的经验。在这项工作中,我们提出了一个通用的可视化系统,称为See Groove,它允许表演者有效地理解各种音乐流派的Grove。对于每一种流派,标准的MIDI数据集都是事先从专业球员的实际表演中提取的。然后,该系统采用输入的演奏数据与所选流派的标准之间的差值来量化该演奏的最佳程度。为了可视化差异,允许用户根据他/她的偏好和目标信息依赖于指定可视化的两种模式和两种视图的任意组合。
"Groove" is a global feature of music performance that generalizes the surges, propulsive rhythmic feel, dynamics, and togetherness of sound to reflect overall rhythmic pleasure. Groove is vital to a good performance, though it is claimed that consierable experience is needed to be accumulated for the expression of groove at will. In this work, we propose a general visualization system, called See Groove, that allows performers to efficiently comprehend groove in various music genres. For each genre, the standard MIDI dataset was extracted from actual performances of professional players in advance. The system then takes the difference between an input data of performance and the standard of a chosen genre to quantify the degree of groove of the performance. 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.