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Research Associate, Dialogue Systems Group
Applications will shortly be invited for a Research Associate position,
working on automatic speech recognition. The project will be based in the
Dialogue Systems Group, in the machine intelligence lab at the Cambridge
University Engineering Department with an anticipated start date of March
2011 or soon after.
The aim of the project is to build a server-based robust spoken dialogue
system providing tourist information for in-car users. The research
associate will be involved in building the system's real-time conversational
speech recognition engine. Tasks will include acoustic/language model
training, implementing noise robustness techniques, decoder optimization,
silence detection and turn taking research. ATK and HTK will be used as the
speech recognition platform. The successful candidate will have a PhD in a
relevant area, such as speech recognition or computer science, and be
familiar with HMM based speech recognition techniques. Preference will be
given to candidates with experience in noise robustness research, end-to-end
implementation of speech recognition systems, and those familiar with the
ATK/HTK platforms.
The Dialogue Systems Group is a world-leading research group working on
robust statistical spoken dialogue systems. During the project, there will
be good opportunities to attend international conferences and workshops.
The formal application process is expected to begin in February but
prospective candidates are encouraged to send their CV immediately to Dr Kai
Yu (
ky219@cam.ac.uk).
The Dialogue Systems Group expects to have further vacancies in the near future and if you would like to be kept informed please also contact Dr Yu.
Other
Those interested in working elsewhere in the Machine Intelligence Laboratory should contact the relevant member of academic staff directly.
If you are interested in vacancies elsewhere in
Cambridge University Engineering Department, there is a
list available at http://www.eng.cam.ac.uk/admin/jobs.htm
Studentships
General information about applying for postgraduate study is available on the
Board of Graduate Studies website. More specific information is available on the
Department of Engineering's own Graduate Studies pages.
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