 |
David TemperleyAssociate Professor of Music Theory
|
My major research interest is music perception and cognition--the way humans perceive, process, and mentally represent music--and the possibility of gaining insight into these issues through computational modeling. I'm also interested in the overlap between music cognition and music theory (rhythm and meter, tonality and key, popular music) and connections between music and linguistics / computational linguistics (parsing, probabilistic modeling, corpus studies).
Music and Probability (MIT Press, 2007). A book exploring issues in music perception and cognition from the perspective of Bayesian probabilistic modeling. At this website you can listen to musical examples and download materials related to the book.
The Melisma Music Analyzer. [Version 1] [Version 2] A computational system for music analysis. It recovers meter, harmony, key, and stream structure from pieces, using MIDI files as input. Version 1 (2000-2003, written in collaboration with Daniel Sleator) is a set of separate modules. Version 2 (2009) is a single integrated program that uses probabilistic logic.
The Cognition of Basic Musical Structures (MIT Press, 2001). A book describing research on computational music analysis. At this website you can listen to midifiles of the musical examples from the book.
Link Grammar Parser. A wide-coverage parser of English, based on an original theory of English syntax. The parser can be tested at this site, and can also be downloaded.
A Statistical Analysis of Tonal Harmony. A statistical study of a corpus of common-practice harmonic analyses.
(On leave Fall 2009)
---------------------------------------------------------
