Research
My main area of interest in terms of research
is musicology and Artificial Intelligence. My Ph.D. thesis from the
Publications:
Inductive Learning for Musical Style Classification: A Preliminary Study
In Proceedings of SMPC'99
(Society for Music Perception & Cognition) August 1999,
Chicago
& Lake Michigan from Navy Pier
Style Analysis for Folk Melodies with Classification using Inductive Learning ,
In Proceedings of JIM 2000
(Journees d'Informatique Musicale), 13-18 May 2000,
An Analysis and Classification of Folk Melodies, using a Hybrid Approach with Inductive Learning
In Proceedings of SMPC 2000(Society for Music
Perception & Cognition) November 2000,
A Comparison of Folk Music Analysis using Lerdahl & Jackendoff’s GTTM and a Group of Human Listeners
In Proceedings of SMPC2001 (Society for Music
Perception & Cognition) August 2001,
· J A Carter, B Eaglestone, M Brown (2003)
A comparison of folk music analysis using The Implication-Realisation Model and GTTM
In Proceedings of SMPC2003 (Society for Music
Perception & Cognition) June
2003,
Other
Related Links
Roger Dannenberg (Carnegie Mellon Univ)
Gerhard Widmer (Univ Vienna)
Celebrities in Cognitive Science
Ross Quinlan's Machine Learning S/W site
Geraint Wiggins' (City University) home page
Music Informatics Research Group, Univ Edinburgh