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2020 – today
- 2024
[i5]Enis Berk Çoban, Michael I. Mandel, Johanna Devaney:
What do MLLMs hear? Examining reasoning with text and sound components in Multimodal Large Language Models. CoRR abs/2406.04615 (2024)- 2023
- [c15]Michèle Duguay, Kate Mancey, Johanna Devaney:
Collaborative Song Dataset (CoSoD): An Annotated Dataset of Multi-Artist Collaborations in Popular Music. ISMIR 2023: 71-79 - [i4]Michèle Duguay, Kate Mancey, Johanna Devaney:
Collaborative Song Dataset (CoSoD): An annotated dataset of multi-artist collaborations in popular music. CoRR abs/2307.05588 (2023) - [i3]Johanna Devaney, Cecilia Beauchamp:
Encoding Performance Data in MEI with the Automatic Music Performance Analysis and Comparison Toolkit (AMPACT). CoRR abs/2311.11363 (2023) - 2022
- [i2]Johanna Devaney:
Beyond chord vocabularies: Exploiting pitch-relationships in a chord estimation metric. CoRR abs/2201.05244 (2022) - 2021
- [i1]Johanna Devaney:
Digital Audio Processing Tools for Music Corpus Studies. CoRR abs/2111.03895 (2021) - 2020
- [j2]Johanna Devaney:
Using Note-Level Music Encodings to Facilitate Interdisciplinary Research on Human Engagement with Music. Trans. Int. Soc. Music. Inf. Retr. 3(1): 205-217 (2020) - [c14]Johanna Devaney:
New Metrics for Evaluating the Accuracy of Fundamental Frequency Estimation Approaches in Musical Signals. ICASSP 2020: 531-535 - [e2]Julie Cumming, Jin Ha Lee, Brian McFee, Markus Schedl, Johanna Devaney, Cory McKay, Eva Zangerle, Timothy de Reuse:
Proceedings of the 21th International Society for Music Information Retrieval Conference, ISMIR 2020, Montreal, Canada, October 11-16, 2020. 2020, ISBN 978-0-9813537-1-5 [contents]
2010 – 2019
- 2019
- [j1]Johanna Devaney
, Hubert Léveillé Gauvin:
Encoding music performance data in Humdrum and MEI. Int. J. Digit. Libr. 20(1): 81-91 (2019) - 2017
- [c13]Johanna Devaney:
Automatically Analyzing Recordings of Musical Performances. DH 2017 - [c12]Johanna Devaney:
Leveraging Expert Domain Knowledge to Learn a Representation of Symbolic Music. DH 2017 - [c11]Johanna Devaney, Michael I. Mandel:
An evaluation of score-informed methods for estimating fundamental frequency and power from polyphonic audio. ICASSP 2017: 181-185 - 2016
- [c10]Johanna Devaney, Hubert Léveillé Gauvin:
Representing and Linking Music Performance Data with Score Information. DLfm 2016: 1-8 - [e1]Michael I. Mandel, Johanna Devaney, Douglas Turnbull, George Tzanetakis:
Proceedings of the 17th International Society for Music Information Retrieval Conference, ISMIR 2016, New York City, United States, August 7-11, 2016. 2016, ISBN 978-0-692-75506-8 [contents] - 2015
- [c9]Johanna Devaney, Claire Arthur, Nathaniel Condit-Schultz, Kirsten Nisula:
Theme And Variation Encodings with Roman Numerals (TAVERN): A New Data Set for Symbolic Music Analysis. ISMIR 2015: 728-734 - [c8]Johanna Devaney:
Evaluating Singer Consistency and Uniqueness in Vocal Performances. MCM 2015: 173-178 - 2012
- [c7]Johanna Devaney, Michael I. Mandel, Ichiro Fujinaga:
A Study of Intonation in Three-Part Singing using the Automatic Music Performance Analysis and Comparison Toolkit (AMPACT). ISMIR 2012: 511-516 - 2011
- [c6]Johanna Devaney, Michael I. Mandel, Ichiro Fujinaga:
Characterizing singing voice fundamental frequency trajectories. WASPAA 2011: 73-76
2000 – 2009
- 2009
- [c5]Johanna Devaney, Daniel P. W. Ellis:
Handling Asynchrony in Audio-Score Alignment. ICMC 2009 - [c4]Johanna Devaney, Michael I. Mandel, Daniel P. W. Ellis:
Improving MIDI-audio alignment with acoustic features. WASPAA 2009: 45-48 - 2008
- [c3]John Ashley Burgoyne, Johanna Devaney, Laurent Pugin, Ichiro Fujinaga:
Enhanced Bleedthrough Correction for Early Music Documents with Recto-Verso Registration. ISMIR 2008: 407-412 - 2003
- [c2]Johanna Devaney:
An Algorithmic Approach to Composing for Flexible Intonation Ensembles. ICMC 2003 - [c1]Johanna Devaney:
Reasonable Influences: The Advantages and Obstacles encountered with Commercial Software Packages used in Introductory Undergraduate Electronic Music Courses. ICMC 2003
Coauthor Index
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