28 May: fyi -- phd funding, UK
Index of May 2002 | Index of year: 2002 | Full index
Research Associates in Speech Recognition
Department of Engineering
Several posts are shortly expected to become available, subject to
confirmation of a research grant, for Research Associates or Senior
Research Associates to work on Large Vocabulary Speech
Recognition. The project will be funded by the DARPA Effective,
Affordable Reusable Speech-to-text (EARS) speech recognition research
programme which aims to very significantly advance the
state-of-the-art while tackling the hardest speech recognition
challenges including the transcription of broadcast news and telephone
conversations. For further details see:
http://svr-www.eng.cam.ac.uk/research/projects/EARS/ears_summary.html
This project offers an opportunity to work in a research group which
has a world-leading reputation in speech recognition research. There
are excellent opportunities for publications, travel and conference
visits. For suitably qualified candidates there may also be the chance
to contribute to the MPhil in Computer Speech, Text and Internet
Technology ( http://svr-www.eng.cam.ac.uk/cstit/).
Candidates must have a very good first degree in a relevant discipline
and should hold a Masters degree. A PhD is an advantage but not
essential given relevant experience. Candidates for a Senior Research
Associate position would be expected to be exceptionally well
qualified. Since the project will use and extend the HTK large
vocabulary speech recognition system, familiarity with the HTK toolkit
( http://htk.eng.cam.ac.uk) and a good knowledge of C is a distinct
advantage.
The project will be of five years duration, but appointments will be
made for 30 months in the first instance, starting as soon as
possible. Salaries (in pounds sterling) are in the range 17,626 to
26,491 for Reseach Associates and 22,522 to 32,537 for Senior Research
Associates.
Further details may be obtained from Phil Woodland, Engineering Dept,
Trumpington Street, Cambridge, CB2 1PZ, UK (email: pcw@eng.cam.ac.uk)
to whom a letter of application and a CV should be sent so as to reach
him no later than 31st May 2002.
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Research Studentships in Speech Recognition
Cambridge University Engineering Department (CUED) is able to offer a
number of well-funded three year PhD research studentships associated
with a new grant
(http://svr-www.eng.cam.ac.uk/research/projects/EARS/ears_summary.html)
from the DARPA Effective, Affordable Reusable Speech-to-text speech
recognition research programme. The overall aim of EARS is to very
significantly advance the state-of-the-art while tackling the hardest
speech recognition challenges including the transcription of broadcast
news and telephone conversations. A wide range of PhD topics will be
on offer at Cambridge which are aimed at both improving the word error
rate of conventional speech recognition systems and developing an
enriched output format with additional acoustic and linguistic
metadata.
Most of the work will use the existing large vocabulary recognition
system developed at Cambridge based on the publicly available HTK
toolkit (http://htk.eng.cam.ac.uk/) The studentships give an
opportunity for study towards a PhD while working in a research group
which has a world-leading reputation in speech recognition research.
There are excellent opportunities for publication and travel to
international conferences. The group has outstanding research
facilities.
Candidates must have a very good first degree in a relevant discipline
and a Masters degree (or equivalent) is an advantage. Since the
project will use and extend the HTK large vocabulary speech
recognition system, familiarity with the HTK toolkit and a good
knowledge of C is a distinct advantage.
The research studentships are available from October 2002. The
studentships will cover fees and a maintenance allowance in excess of
current EPSRC awards from the UK Government. For non-EU candidates,
the studentships will also cover all overseas fees. Interested
candidates should contact the Principal Investigator of the CUED EARS
project:
Phil Woodland, Engineering Dept, Trumpington Street, Cambridge.
CB2 1PZ, UK (email: pcw@eng.cam.ac.uk).
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Phil Woodland,
Reader in Information Engineering, Email: pcw@eng.cam.ac.uk
Cambridge University Engineering Dept., Tel: +44-1223-332669
Trumpington Street, Cambridge, CB2 1PZ, England. Fax: +44-1223-332662
Index of May 2002 | Index of year: 2002 | Full index