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sageev-oore2

Sageev Oore

Appointment

Canada CIFAR AI Chair

Pan-Canadian AI Strategy

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Dalhousie University

Google Scholar

About

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.

Relevant Publications

  • 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.

Institution

Dalhousie University

Vector Institute

Department

Computer Science

Education

  • PhD (Computer Science), University of Toronto
  • MSc (Computer Science), University of Toronto
  • BSc (Mathematics), Dalhousie University

Country

Canada

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