A few tangentially-related things: If you're generally interested in this subject, a popular toolkit for computational musicology outside of Haskell is Music21

A few tangentially-related things: If you're generally interested in this subject, a popular toolkit for computational musicology outside of Haskell is Music21, in Python: http://web.mit.edu/music21/ http://web.mit.edu/music21/ If you're interested in Haskell and music, you might like Renick Bell's "Conductive" for Haskell-driven live coding music performance: http://www.renickbell.net/doku.php?id=conductive http://www.renickbell.net/doku.php?id=conductive (video: http://www.youtube.com/watch?v=J5TskLgsdBU http://www.youtube.com/watch?v=J5TskLgsdBU from last year's Linux Audio Conference; he gave another talk and concert this year but I don't think the videos are available yet) If you're generally interested in high-level functional language code to analyse musical intention, the IDyOM project from Marcus Pearce in my own group (http://code.soundsoftware.ac.uk/projects/idyom-project http://code.soundsoftware.ac.uk/projects/idyom-project) just made a release of their Common Lisp software for predictive modelling of musical structure.