将音乐的半音指数形象化

D. Politis, D. Margounakis, Konstantinos Mokos
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引用次数: 23

摘要

音乐成像是将一维音频信号的“隐藏”维度可视化的最新趋势。将色彩归属于心理声学现象,与民族音乐音阶和风格的多样性所描绘的乐感是一致的。基于软件工程技术的音频工具用于可视化全球音乐的色度。这项工作提出MEL-IRIS,一个音频工具,支持音乐的音阶索引。色彩描述可以用于分类、识别、基于情感和艺术家风格特征的查询。音色元数据可以为基于web的应用程序中的音乐检索提供一种新的方式。
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Visualizing the chromatic index of music
Musical imaging is a recent trend in visualizing "hidden" dimensions of one-dimensional audio signals. The ascription of colors to psychoacoustic phenomena is consistent to the music perception depicted in the variety of scales and styles of ethnic music. Audio tools based on software engineering techniques are built for visualizing the chrominance of global music. This work presents MEL-IRIS, an audio tool that supports the chromatic indexing of music. Chromatic description can be used for classification, identification, making queries based on emotion and characterization of the style of an artist. Chromatic metadata can comprise a novel way in music retrieval in Web-based applications.
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