Some new approaches to speech recognition and language modelling

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• Geoffrey Hinton (University of Toronto)
• Wednesday 22 June 2011, 14:00-15:00
• Cambridge University Engineering Department, Lecture Room 2.

If you have a question about this talk, please contact Kai Yu.

In the first part of the talk, I will review some of the research at the University of Toronto on the use of deep belief nets for speech recognition. Then I will describe some very recent work that uses a rather different approach to learn acoustic events that have precise times and amplitudes. Finally I will briefly describe a much better way of optimizing recurrent neural networks. When applied to a novel type of recurrent neural net, this new optimizer learns extremely good models of character sequences. This is joint work with George Dahl, Abdel-rahman Mohamed, Navdeep Jaitly, James Martens and Ilya Sutskever.

This talk is part of the Machine Intelligence Lab Seminar series.

This talk is included in these lists:

• CUED Speech Group Seminars
• Cambridge Forum of Science and Humanities
• Cambridge Language Sciences
• Cambridge University Engineering Department, Lecture Room 2
• Chris Davis' list
• Guy Emerson's list
• Information Engineering Division seminar list
• Machine Intelligence Lab Seminar
• Trust & Technology Initiative - interesting events

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