Phillip Kirlin

Phillip B. Kirlin and Jason Yust.
Analysis of Analysis: Using Machine Learning to Evaluate the Importance of Music Parameters for Schenkerian Analysis.
Journal of Mathematics and Music 10 (2): 127-148, 2016.
[ pdf ] [ access through publisher ]

Jason Yust and Phillip B. Kirlin
The Multileveled Rhythmic Structure of Ragtime.
In Proceedings of the 9th International Conference on Culture and Computing, pages 337-354, 2021.
[ pdf ] [ access through publisher ]

Phillip B. Kirlin
A Corpus-Based Analysis of Syncopated Patterns in Ragtime.
In Proceedings of the 21st International Society for Music Information Retrieval Conference, pages 647-653, 2020.
[ a4 pdf ] [ access through publisher ]

Joel Michelson, Hong Xu, and Phillip B. Kirlin
Probabilistic Generation of Ragtime Music from Classical Melodies.
In Proceedings of the Sixth International Conference on Mathematics and Computation in Music, pages 350-360, 2017. (Also appears in Springer's Lecture Notes in Computer Science)
[ pdf ] [ access through publisher ]

Phillip B. Kirlin
Global Properties of Expert and Algorithmic Hierarchical Music Analyses.
In Proceedings of the 17th International Society for Music Information Retrieval Conference, pages 640-646, 2016.
[ letter pdf ] [ access through publisher ]

Phillip B. Kirlin and David L. Thomas.
Extending a Model of Monophonic Hierarchical Music Analysis to Homophony.
In Proceedings of the 16th International Society for Music Information Retrieval Conference, pages 715-721, 2015.
[ a4 pdf ] [ access through publisher ]

Phillip B. Kirlin and David D. Jensen.
Using Supervised Learning to Uncover Deep Musical Structure.
In Proceedings of the 29th AAAI Conference on Artificial Intelligence, pages 1770-1776, 2015.
[ letter pdf ] [ access through publisher ]

Phillip B. Kirlin.
A Data Set for Computational Studies of Schenkerian Analysis.
In Proceedings of the 15th International Society for Music Information Retrieval Conference, pages 213-218, 2014.
[ a4 pdf ] [ access through publisher ]

Phillip B. Kirlin and David D. Jensen.
Probabilistic Modeling of Hierarchical Music Analysis.
In Proceedings of the 12th International Society for Music Information Retrieval Conference, pages 393-398, 2011.
[ letter pdf ] [ access through publisher ]

Phillip B. Kirlin.
Using Harmonic and Melodic Analyses to Automate the Initial Stages of Schenkerian Analysis.
In Proceedings of the 10th International Society for Music Information Retrieval Conference, pages 423-428, 2009.
[ a4 pdf ] [ access through publisher ]

Phillip B. Kirlin and Paul E. Utgoff.
A Framework for Automated Schenkerian Analysis.
In Proceedings of the Ninth International Conference on Music Information Retrieval, pages 363-368, 2008.
[ letter pdf ] [ access through publisher ]

Paul E. Utgoff and Phillip B. Kirlin.
Detecting Motives and Recurring Patterns in Polyphonic Music.
In Proceedings of the International Computer Music Conference, pages 487-494, 2006.
[ letter ps | letter pdf ] [ access through publisher ]

Phillip B. Kirlin and Paul E. Utgoff.
VoiSe: Learning To Segregate Voices In Explicit And Implicit Polyphony.
In Proceedings of the Sixth International Conference on Music Information Retrieval, pages 552-557, 2005.
[ bibtex | abstract | letter pdf | a4 pdf ] [ access through publisher ]

Phillip B. Kirlin.
A Probabilistic Model of Hierarchical Music Analysis.
PhD thesis, University of Massachusetts Amherst, February 2014.
[ letter pdf | letter pdf single-spaced ] [ access through university ]
[ more information ]