Dear friends, 
   although I have not posted any message, I have been reading this list 
for some time.I am graduate student finishing my PhD degree in Computer
Science 
in Princeton University under the guidance of Prof. Perry Cook. 

For the last few years I have been conducting research in 
Computer Audition (examples: automatic music segmentation, 
musical genre classification, feature extraction, music/speech 
classification, similarity retrieval etc) 
essentially developing and combining techniques from 
Signal Processing and Machine Learning to analyze audio and especially
music.   

Mainly for my own research I have developed a software 
framework in C++ called MARSYAS that contains all my proposed 
algorithms as well as many of the existing computer audition 
algorithms. A small-scale graphical user interface written 
in JAVA can also be used as a prototype computer audition enhanced 
audio editor. Using MARSYAS audio files can be automatically classified 
and new classification schemes can easily be created and evaluated. 
MARSYAS has also been used by undergraduate and graduate students 
in Princeton doing computer audition projects. 

I believe it should be straightforward to use MARSYAS 
for example to write plugins that perform musical genre 
classification or similarity retrieval 
for the audio systems described in this list. 
Therefore I thought it might be of interest to people in this list 
to take a look at my software and possibly use it. 

MARSYAS is available as free software under the GPL 
from http://www.cs.princeton.edu/~gtzan/marsyas.html
and should compile easily under Linux. 

Alhtough I have very little time since this is my last year
I would be happy to help and collaborate with anyone who might find
MARSYAS 
useful. Also please do not hesitate to send any feedback (good or bad)
to 
[EMAIL PROTECTED] Please bear in mind that this software 
was created for my own research and although I have made an effort 
to make it clean and well-documented a lot of work remains to be 
done in this area. 


Thank you for your time, 
George Tzanetakis

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