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Details of Grant 

EPSRC Reference: GR/M27968/02
Title: IMPROVING THE QUALITY AND INTELLIGIBILITY OF SPEECH FROM MOBILE PHONES IN MOVING CAR/TRAIN ENVIRONMENTS
Principal Investigator: Vaseghi, Professor S
Other Investigators:
McCourt, Dr PM
Researcher Co-Investigators:
Project Partners:
BT
Department: Information Systems & Computing
Organisation: Brunel University London
Scheme: Standard Research (Pre-FEC)
Starts: 01 February 2000 Ends: 31 January 2002 Value (£): 90,086
EPSRC Research Topic Classifications:
Digital Signal Processing
EPSRC Industrial Sector Classifications:
Communications
Related Grants:
Panel History:  
Summary on Grant Application Form
Speech communication from a moving car or train or over a mobile phone can be severely degraded by ambient noise. Furthermore, with the increasing development of speech recognition systems across a wide range of information services, it is important for the users and providers of mobile phones that access to voice recognition systems is not impaired by the noise. The objective of this proposal is to develop an integrated Bayesian noise removal and noisy speech recognition system for improving perceptual quality, the intelligibility, and the automatic recognition of speech from mobile telephones in noisy moving car/train environments.This proposal has its focus on a number of problems where further development is essential for improved and acceptable functioning of noisy speech enhancement and recognition systems. These are the development of adaptive tree-based hidden Markov models for a variety of noise sources, further development of phoneme-based perceptual filtering parameters for authority critical bands, and development of objective measures expressing confidence in speech recognition noise. The methods will be tested and evaluated on data bases such as cellular TIMIT, and the broadcast news data base.
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Organisation Website: http://www.brunel.ac.uk