The SOM-enhanced JukeBox: Organization and Visualization of Music Collections based on Perceptual Models

Authors: 
Andreas Rauber
Elias Pampalk
Wolfdieter Merkl
Type: 
Journal article
Proceedings: 
Publisher: 
Journal of New Music Research, 32-2
Pages: 
193 - 210
ISBN: 
Year: 
2003
Abstract: 
The availability of large music repositories calls for new ways of automatically organizing <br> and accessing them. While artist-based listings or title indexes may help in locating a specific <br> piece of music, a more intuitive, genre-based organization is required to allow users to browse <br> an archive and explore its contents. So far, however, these organizations following musical <br> styles have to be designed manually.<br> <br> With the SOM-enhanced JukeBox (SOMeJB) we propose an approach to automatically create an <br> organization of music archives following their perceived sound similarity. More specifically, <br> characteristics of frequency spectra are extracted and transformed according to psychoacoustic <br> models. The resulting psychoacoustic Rhythm Patterns are further organized using the <br> Growing Hierarchical Self-Organizing Map, an unsupervised neural network. On top of this <br> advanced visualizations including Islands of Music (IoM) and Weather Charts offer an interface <br> for interactive exploration of large music repositories.<br> <br> Keywords: Music Clustering, Rhythm Patterns, Self-Organizing Map (SOM), Interfaces
TU Focus: 
Information and Communication Technology
Reference: 

A. Rauber, E. Pampalk, W. Merkl:
"The SOM-enhanced JukeBox: Organization and Visualization of Music Collections based on Perceptual Models";
Journal of New Music Research, 32 (2003), 2; S. 193 - 210.

Zusätzliche Informationen

Last changed: 
17.12.2003 17:32:49
TU Id: 
137947
Accepted: 
Accepted
Invited: 
Department Focus: 
Business Informatics
Abstract German: 
Author List: 
A. Rauber, E. Pampalk, W. Merkl