[Elsnet-list] Speech Synthesis and Recognition / Machine
Translation at Cambridge University
wjb31 at cam.ac.uk
Tue Jun 3 12:23:13 CEST 2008
A position exists for a Research Associate to work on the EMIME
("Efficient multilingual interaction in mobile environment") project.
This project is funded by the European Commission within the FP7
programme. The project aims to develop a mobile device that performs
personalized speech-to-speech translation such that a user's spoken
input in one language is used to produce spoken output in another
language, while continuing to sound like the user's voice. We will
build on recent developments in speech synthesis using hidden Markov
models, which is the same technology used for automatic speech
recognition. Using a common statistical modelling framework for
automatic speech recognition and speech synthesis will enable the use
of common techniques for adaptation and multilinguality. The project
objectives are to
1. Personalise speech processing systems by learning individual
characteristics of a user's speech and reproducing them in synthesised
2. Introduce a cross-lingual capability such that personal
characteristics can be reproduced in a second language not spoken by
3. Develop and better understand the mathematical and theoretical
relationship between speech recognition and synthesis.
4. Eliminate the need for human intervention in the process of cross-
5. Evaluate our research against state-of-the art techniques and in a
practical mobile application.
See the EMIME website for more information: http://www.emime.org/
This is an opportunity to work in a research group with a world-
leading reputation in speech recognition and statistical machine
translation research. There are excellent opportunities for
publications, travel and conference visits. The group has outstanding
research facilities. For suitably qualified candidates there may also
be the chance to contribute to the MPhil in Computer Speech, Text and
Internet Technology (http://mi.eng.cam.ac.uk/cstit/).
The successful candidate must have a very good first degree in a
relevant discipline and preferably have a higher degree as well as
experience in acoustic modeling for speech synthesis and/or
recognition. Expertise in one or more of the following technical areas
is also a distinct advantage:
- speech recognition with the HTK toolkit (http://htk.eng.cam.ac.uk)
- speech synthesis with the HTS HMM-based Speech Synthesis System (http://hts.sp.nitech.ac.jp
- weighted finite state transducers for speech and language processing
The project focus is acoustic modeling but experience in statistical
machine translation is also an advantage.
The cover sheet for applications, PD18 is available from http://www.admin.cam.ac.uk/offices/personnel/forms/pd18/
Part I and Part III only, should be sent, with a letter and CV to Dr
Bill Byrne, Department of Engineering, Trumpington Street, Cambridge,
CB2 1PZ, (Fax +44 01223 332662, email wjb31 at cam.ac.uk).
Quote Reference: NA03547, Closing Date: 30 June 2008
The University values diversity and is committed to equality of
Department of Engineering, University of Cambridge
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