An Algorithmic Approach to Composing for Flexible Intonation Ensembles. - Johanna Devaney (ICMC, 2003)

Reasonable Influences: The Advantages and Obstacles encountered with Commercial Software Packages used in Introductory Undergraduate Electronic Music Courses. - Johanna Devaney (ICMC, 2003)

Enhanced Bleedthrough Correction for Early Music Documents with Recto-Verso Registration. - John Ashley Burgoyne; Johanna Devaney; Laurent Pugin; Ichiro Fujinaga (ISMIR, 2008)

Handling Asynchrony in Audio-Score Alignment. - Johanna Devaney; Daniel P. W. Ellis (ICMC, 2009)

Improving MIDI-audio alignment with acoustic features. - Johanna Devaney; Michael I. Mandel; Daniel P. W. Ellis (WASPAA, 2009)

Characterizing singing voice fundamental frequency trajectories. - Johanna Devaney; Michael I. Mandel; Ichiro Fujinaga (WASPAA, 2011)

A Study of Intonation in Three-Part Singing using the Automatic Music Performance Analysis and Comparison Toolkit (AMPACT). - Johanna Devaney; Michael I. Mandel; Ichiro Fujinaga (ISMIR, 2012)

Theme And Variation Encodings with Roman Numerals (TAVERN): A New Data Set for Symbolic Music Analysis. - Johanna Devaney; Claire Arthur; Nathaniel Condit-Schultz; Kirsten Nisula (ISMIR, 2015)

Evaluating Singer Consistency and Uniqueness in Vocal Performances. - Johanna Devaney (MCM, 2015)

Representing and Linking Music Performance Data with Score Information. - Johanna Devaney; Hubert Léveillé Gauvin (DLfm, 2016)

Automatically Analyzing Recordings of Musical Performances. - Johanna Devaney (DH, 2017)

Leveraging Expert Domain Knowledge to Learn a Representation of Symbolic Music. - Johanna Devaney (DH, 2017)

An evaluation of score-informed methods for estimating fundamental frequency and power from polyphonic audio. - Johanna Devaney; Michael I. Mandel (ICASSP, 2017)

Encoding music performance data in Humdrum and MEI. - Johanna Devaney; Hubert Léveillé Gauvin (Int. J. Digit. Libr., 2019)

New Metrics for Evaluating the Accuracy of Fundamental Frequency Estimation Approaches in Musical Signals. - Johanna Devaney (ICASSP, 2020)

Using Note-Level Music Encodings to Facilitate Interdisciplinary Research on Human Engagement with Music. - Johanna Devaney (Trans. Int. Soc. Music. Inf. Retr., 2020)

Digital Audio Processing Tools for Music Corpus Studies. - Johanna Devaney (CoRR, 2021)

Beyond chord vocabularies: Exploiting pitch-relationships in a chord estimation metric. - Johanna Devaney (CoRR, 2022)

Collaborative Song Dataset (CoSoD): An Annotated Dataset of Multi-Artist Collaborations in Popular Music. - Michèle Duguay; Kate Mancey; Johanna Devaney (ISMIR, 2023)

Encoding Performance Data in MEI with the Automatic Music Performance Analysis and Comparison Toolkit (AMPACT). - Johanna Devaney; Cecilia Beauchamp (CoRR, 2023)

What do MLLMs hear? Examining reasoning with text and sound components in Multimodal Large Language Models. - Enis Berk Çoban; Michael I. Mandel; Johanna Devaney (CoRR, 2024)

pyAMPACT: A Score-Audio Alignment Toolkit for Performance Data Estimation and Multi-modal Processing. - Johanna Devaney; Daniel McKemie; Alex Morgan (CoRR, 2024)