Visualizing the chromatic index of music

Author

Politis, Dionysios ; Margounakis, Dimitrios ; Mokos, Konstantinos

Author_Institution

Dept. of Informatics, Aristotelian Univ. of Thessaloniki, Greece

fYear

2004

fDate

13-14 Sept. 2004

Firstpage

102

Lastpage

109

Abstract

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.

Keywords

audio signal processing; data visualisation; emotion recognition; meta data; music; Web-based applications; audio tools; chromatic indexing; data visualization; metadata; music perception; music retrieval; musical imaging; one-dimensional audio signals; psychoacoustic phenomena; software engineering; Frequency; Indexing; Informatics; Iris; Multiple signal classification; Music information retrieval; Psychology; Software engineering; Strips; Visualization;

fLanguage

English

Publisher

ieee

Conference_Titel

Web Delivering of Music, 2004. WEDELMUSIC 2004. Proceedings of the Fourth International Conference on

Print_ISBN

0-7695-2157-6

Type

conf

DOI

10.1109/WDM.2004.1358106

Filename

1358106