Creating and Collecting Meaningful Musical Material with Machine Learning
PhD thesis, 2022
Drumroll Please: Modeling Multi-Scale Rhythmic Gestures with Flexible Grids.
Trans. Int. Soc. Music. Inf. Retr., 2021
What to Play and How to Play it: Guiding Generative Music Models with Multiple Demonstrations.
Proceedings of the 21th International Conference on New Interfaces for Musical Expression, 2021
Robust Laughter Detection in Noisy Environments.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021
Attending to Long-Distance Document Context for Sequence Labeling.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
Breaking Speech Recognizers to Imagine Lyrics.
CoRR, 2019
Estimating Unobserved Audio Features for Target-Based Orchestration.
Proceedings of the 20th International Society for Music Information Retrieval Conference, 2019
Learning to Groove with Inverse Sequence Transformations.
Proceedings of the 36th International Conference on Machine Learning, 2019
Please Clap: Modeling Applause in Campaign Speeches.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018
Capturing, Representing, and Interacting with Laughter.
Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 2018
Estimating the Date of First Publication in a Large-Scale Digital Library.
Proceedings of the 2017 ACM/IEEE Joint Conference on Digital Libraries, 2017
Machine Learning of Jazz Grammars.
Comput. Music. J., 2010