Sageev Oore is a Canada CIFAR AI Chair at the Vector Institute and an associate professor in the faculty of computer science at the Dalhousie University.
Oore explores machine learning in computational creativity. His research focuses on music, audio processing & creative applications.
Oore, S., Simon, I., Dieleman, S., Eck, D., & Simonyan, K. (2020). This time with feeling: Learning expressive musical performance. Neural Computing and Applications, 32(4), 955-967.
Huang, S., Li, Q., Anil, C., Bao, X., Oore, S., & Grosse, R. B. (2018). Timbretron: A wavenet (cyclegan (cqt (audio))) pipeline for musical timbre transfer.
Simon, I., & Oore, S. (2017). Performance rnn: Generating music with expressive timing and dynamics. Magenta Blog: https://magenta. tensorflow. org/performancernn.
Hawthorne, C., Elsen, E., Song, J., Roberts, A., Simon, I., Raffel, C., Eck, D., et. al. (2017). Onsets and frames: Dual-objective piano transcription.
Oore, S., Hinton, G. E., & Dudek, G. (1997).A mobile robot that learns its place. Neural Computation, 9(3), 683-699.
CIFAR is a registered charitable organization supported by the governments of Canada, Alberta and Quebec, as well as foundations, individuals, corporations and Canadian and international partner organizations.