VOISE: Learning to Segregate Voices in Explicit and Implicit Polyphony. - Phillip B. Kirlin; Paul E. Utgoff (ISMIR, 2005)

Detecting Motives and Recurring Patterns in PolyphonicMusic. - Paul E. Utgoff; Phillip B. Kirlin (ICMC, 2006)

A Framework for Automated Schenkerian Analysis. - Phillip B. Kirlin; Paul E. Utgoff (ISMIR, 2008)

Using Harmonic and Melodic Analyses to Automate the Initial Stages of Schenkerian Analysis. - Phillip B. Kirlin (ISMIR, 2009)

Probabilistic Modeling of Hierarchical Music Analysis. - Phillip B. Kirlin; David D. Jensen (ISMIR, 2011)

A Data Set for Computational Studies of Schenkerian Analysis. - Phillip B. Kirlin (ISMIR, 2014)

Learning to Uncover Deep Musical Structure. - Phillip B. Kirlin; David D. Jensen (AAAI, 2015)

Extending a Model of Monophonic Hierarchical Music Analysis to Homophony. - Phillip B. Kirlin; David L. Thomas (ISMIR, 2015)

Global Properties of Expert and Algorithmic Hierarchical Music Analyses. - Phillip B. Kirlin (ISMIR, 2016)

Probabilistic Generation of Ragtime Music from Classical Melodies. - Joel Michelson; Hong Xu; Phillip B. Kirlin (MCM, 2017)

A corpus-based analysis of syncopated patterns in ragtime. - Phillip B. Kirlin (ISMIR, 2020)

The Multileveled Rhythmic Structure of Ragtime. - Jason Yust; Phillip B. Kirlin (HCI (33), 2021)