I am a scholar, teacher, and musician working in the fields of music theory, music technology, and cognitive science.
My research interests include building digital musicology research tools and software; analysis and modeling of symbolic music data; and the perception and cognition of music, with a focus on correlating behavioral/physical responses to musical structures.
I am particularly interested in music and memory, strong emotional responses to music, and the automation of symbolic music data collection and annotation.
Prior to arriving at Georgia Tech I spent two years (2016-2018) as a postdoctoral fellow working on the analysis axis of the SIMSSA project at McGill University in Montreal, Canada, under the guidance of Ichiro Fujinaga and Julie Cumming, and was a member of the DDMAL lab.
I wouldn’t have had either of these jobs if I didn’t know how to do research in systematic musicology––a nifty set of skills I began learning while doing my PhD (2012-2016) at the Ohio State University (Columbus, OH) in the Cognitive and Systematic Musicology Lab under the amazing tutelage of David Huron.
Prior to this, I already had learned a great deal about music (and music theory in particular) from working with some amazing individuals at excellent institutions. I completed my Bachelor of Music degree at the University of Toronto and an MA in music theory at the University of British Columbia in beautiful Vancouver, British Columbia. I liked it so much there that I hung around for seven years and started my own piano studio.
When I’m not geeking out with music, I like to rock climb, travel, and take photos.
Publications
| Title |
Author(s) |
Year |
Publication |
Citation |
|
The Coordinated Corpus of Popular Musics (CoCoPops): A Meta-Dataset of Melodic and Harmonic Transcriptions
|
Claire Arthur and Nathaniel Condit-Schultz |
2023 |
Proceedings of the International Society for Music Information Retrieval |
|
|
The role of structural tones in establishing mode in Renaissance counterpoint.
|
Claire Arthur, Julie Cumming and Peter Schubert |
2022 |
The Oxford Handbook of Corpus Studies |
|
|
Voice leading in palestrina’s masses: A comparison of interval-succession definitions
|
Laney Light and Claire Arthur |
2021 |
Future Directions of Music Cognition |
|
|
What do I dance to this?: A perceptual study of dance genre identification
|
Virgil Breeden and Claire Arthur |
2021 |
International Conference for Music Perception and Cognition (ICMPC) |
|
|
Vicentino versus Palestrina: A computational investigation of voice leading across changing vocal densities
|
Claire Arthur |
2021 |
Journal of New Music Research |
|
|
A statistical model for melody reduction
|
Tianxue Hu and Claire Arthur |
2021 |
Future Directions of Music Cognition |
|
|
An Interdisciplinary Review of Music Performance Analysis
|
Alexander Lerch, Claire Arthur, Ashis Pati and Siddharth Gururani |
2020 |
Transactions of the International Society for Music Information Retrieval |
|
|
humdrumR: a New Take on an Old Approach to Computational Musicology
|
Nathaniel Condit-Schultz and Claire Arthur |
2019 |
Proceedings of the International Society for Music Information Retrieval |
|
|
Music Performance Analysis: A Survey
|
Alexander Lerch, Claire Arthur, Ashis Pati and Siddharth Gururani |
2019 |
Proceedings of the International Society for Music Information Retrieval |
|
|
Alternative Measures: A Musicologist Workbench for Popular Music
|
Beach Clark and Claire Arthur |
2019 |
Proceedings of the 16th Sound and Music Computing Conference |
|
|
Key-Finding Based on a Hidden Markov Model and Key Profiles
|
Néstor Nápoles López, Claire Arthur and Ichiro Fujinaga |
2019 |
Proceedings of the 6th International Conference on Digital Libraries for Musicology |
|
|
A Perceptual Study of Scale-degree Qualia in Context
|
Claire Arthur |
2018 |
Music Perception |
|
|
Supplementing Melody, Lyrics, and Acoustic Information to the McGill Billboard Database
|
Hubert Léveillé Gauvin, Nathaniel Condit-Schultz and Claire Arthur |
2017 |
Annual Conference of the International Alliance of Digital Humanities Organizations |
|
|
Taking Harmony Into Account: The Effect of Harmony on Melodic Probability
|
Claire Arthur |
2017 |
Music Perception |
|
|
Theme And Variation Encodings with Roman Numerals (TAVERN): A New Data Set for Symbolic Music Analysis.
|
Johanna Devaney, Claire Arthur, Nathaniel Condit-Schultz and Kirsten Nisula |
2015 |
Proceedings of the International Society for Music Information Retrieval |
|
