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Jon Gillick
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2020 – today
- 2022
- [b1]Jon Gillick:
Creating and Collecting Meaningful Musical Material with Machine Learning. University of California, Berkeley, USA, 2022 - 2021
- [j2]Jon Gillick, Joshua Yang, Carmine-Emanuele Cella, David Bamman:
Drumroll Please: Modeling Multi-Scale Rhythmic Gestures with Flexible Grids. Trans. Int. Soc. Music. Inf. Retr. 4(1): 156 (2021) - [c8]Jon Gillick, Wesley Deng, Kimiko Ryokai, David Bamman:
Robust Laughter Detection in Noisy Environments. Interspeech 2021: 2481-2485 - [c7]Jon Gillick, David Bamman:
What to Play and How to Play it: Guiding Generative Music Models with Multiple Demonstrations. NIME 2021 - 2020
- [c6]Matthew Jörke, Jon Gillick, Matthew Sims, David Bamman:
Attending to Long-Distance Document Context for Sequence Labeling. EMNLP (Findings) 2020: 3692-3704
2010 – 2019
- 2019
- [c5]Jon Gillick, Adam Roberts, Jesse H. Engel, Douglas Eck, David Bamman:
Learning to Groove with Inverse Sequence Transformations. ICML 2019: 2269-2279 - [c4]Jon Gillick, Carmine-Emanuele Cella, David Bamman:
Estimating Unobserved Audio Features for Target-Based Orchestration. ISMIR 2019: 192-199 - [i2]Jon Gillick, Adam Roberts, Jesse H. Engel, Douglas Eck, David Bamman:
Learning to Groove with Inverse Sequence Transformations. CoRR abs/1905.06118 (2019) - [i1]Jon Gillick, David Bamman:
Breaking Speech Recognizers to Imagine Lyrics. CoRR abs/1912.06979 (2019) - 2018
- [c3]Kimiko Ryokai, Elena Durán-López, Noura Howell, Jon Gillick, David Bamman:
Capturing, Representing, and Interacting with Laughter. CHI 2018: 358 - [c2]Jon Gillick, David Bamman:
Please Clap: Modeling Applause in Campaign Speeches. NAACL-HLT 2018: 92-102 - 2017
- [c1]David Bamman, Michelle Carney, Jon Gillick, Cody Hennesy, Vijitha Sridhar:
Estimating the Date of First Publication in a Large-Scale Digital Library. JCDL 2017: 149-158 - 2010
- [j1]Jon Gillick, Kevin Tang, Robert M. Keller:
Machine Learning of Jazz Grammars. Comput. Music. J. 34(3): 56-66 (2010)
Coauthor Index
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