Note: Elias Pampalk is not working at OFAI anymore. These pages are no longer updated and kept for archiving purposes only. For any further information, please visit Elias Pampalk's current personal webpage.

 Last Updated: 14.06.2004


The MA Toolbox is a collection of functions for Matlab 6 or higher. It contains functions to analyze music (audio) and compute similarities. For details see the documentation.

The MA Toolbox can be redistributed and/or modified under the terms of the GNU General Public License as published by the Free Software Foundation. Either version 2, or any later version apply.

I started working on this toolbox during my master's thesis in 2001 at the IFS and continued documenting and adding new functions while I was employed by the START INF-99 (2002-2003) and SIMAC (since 2004) projects at the OeFAI and while I was working at the MTG in summer 2003. For full functionality the MA toolbox requires the NETLAB toolbox and the EMD functions by Y. Rubner to be installed. (See download area for details.)

This toolbox will be maintained on a very irregular basis. Any contributions are very welcome!

(some) RELATED PUBLICATIONS (sorted by year):
[1] A Music Similarity Function Based on Signal Analysis
B. Logan and A. Salomon. Proceedings of the IEEE International Conference on Multimedia and Expo (ICME'01), Tokyo, August 22-25, 2001.
[2] Music Similarity Measures: What's the Use?
J.-J. Aucouturier and F. Pachet. Proceedings of the 3rd International Conference on Music Information Retrieval (ISMIR'02), Paris, October 13-17, 2002.
[3] Content-based Organization and Visualization of Music Archives
E. Pampalk, A. Rauber, and D. Merkl, Proceedings of the ACM Multimedia 2002, Juan les Pins, France, December 1-6, 2002, ACM.
Technical Report OeFAI-TR-2002-30, BibTex.
[4] Exploring Music Collections by Browsing Different Views
E. Pampalk, S. Dixon, and G. Widmer. Proceedings of the 4th International Conference on Music Information Retrieval (ISMIR'03), pp 201-208, Baltimore, MD, October 26-30, 2003.
Technical Report OeFAI-TR-2003-23 (PDF), Presentation Slides, BibTex.
[5] Improving Timbre Similarity: How high is the sky?
J.-J. Aucouturier and F. Pachet. Journal of Negative Results in Speech and Audio Sciences, 1(1), 2004.
[6] A Matlab Toolbox to Compute Similarity from Audio
E. Pampalk. Proceedings of the 5th International Conference on Music Information Retrieval (ISMIR'04), 2004.

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