The Book of Trees is now available!      See other retailers
Home     About     VC Book     Stats     Blog     Books     Links     Contact  
Search the VC database:
    Music   < Prev | 417 of 777 | Next >
The materials shown on this page are copyright protected by
their authors and/or respective institutions.
Music Rainbow
Author(s):
Elias Pampalk, Masataka Goto
Institution:
National Institute of Advanced Industrial Science and Technology (AIST) - Japan
Year:
2006
URL:
http://staff.aist.go.jp/elias.pampalk/MusicRainbow/
Project Description:
MusicRainbow is a simple interface for discovering artists where colors encode different types of music. MusicRainbow is based on a new audio-based approach to compute artist similarity. This approach scores 15 percentage points higher in a genre classification task than the similarity computed on track level. Using a traveling salesman algorithm, similar artists are mapped near each other on a circular rainbow. Words describe different regions of the rainbow. These words are automatically extracted from web pages mentioning the artists. The authors used different vocabularies for different hierarchical levels and heuristics to select the most descriptive labels.

The demonstration available online is based on a collection containing 558 artists. In this same demo we can see how the user controls the MusicRainbow interface with a knob which can be turned (to select an artist) and pushed (to listen to music from the selected artist).

Comments (0):
*Note* Before you submit your comment, bear in mind there's no guarantee it will be seen by this project's author. In case you want to contact the author directly, please follow the provided URL.
Leave a Comment:
* COMMENTS HAVE BEEN TEMPORARILY DISABLED *
(We're looking for the best solution to avoid unwanted SPAM)
Manuel Lima | VisualComplexity.com