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I am a PhD student in the Department of Engineering, in the University of Cambridge, and a member of St. Edmund's College. My PhD began in October 2014.
Click here for my CV.
My current research interests are focused around acoustic modelling in automatic speech recognition. I am particularly interested in Bayesian inference through these acoustic models, and model compression for efficient decoding.
In the broader field of machine learning, I am also interested in reinforement learning algorithms. Particularly in their application to robotics.
My department internal webpage can be found by clicking here
Jeremy H. M. Wong and Mark J. F. Gales, "Sequence Student-Teacher Training of Deep Neural Networks," in INTERSPEECH, San Francisco, USA, September 2016, 2761-2765 [Paper][Slides]
Jeremy Wong, "Ensemble Methods and Efficient Decoding," in Doctoral Consortium, INTERSPEECH, San Francisco, USA, September 2016 [Slides]
Jeremy H. M. Wong and Mark J. F. Gales, "Hypothesis Posterior Student-Teacher Training," in UKSpeech, Sheffield, UK, June 2016 [Poster]
Jeremy Wong, "Echo State Network Random Projections and Ensemble Diversity," in Young Researchers Forum, ICASSP, Shanghai, China, March 2016 [Slides]
Jeremy Wong, "Data classification through the consensus of an ensemble", in Malaysia Singapore Reseach Conference, Cambridge, UK, April 2016 [Slides]
Jeremy Wong, "Data classification through the consensus of an ensemble", in St. Edmund's Student Conference, Cambridge, UK, February 2016 [Slides]
| Jeremy Wong
| Baker Building, Room BE5-02
|Trumpington Street, Cambridge
||Tel: +44 1223 766514
|CB2 1PZ, UK
[ Cambridge University |