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Details of Grant 

EPSRC Reference: GR/R47400/01
Title: Multisource decoding for speech in the presence of other sound sources
Principal Investigator: Green, Professor PD
Other Investigators:
Brown, Professor G Cooke, Professor M Barker, Professor J
Researcher Co-Investigators:
Project Partners:
Department: Computer Science
Organisation: University of Sheffield
Scheme: Standard Research (Pre-FEC)
Starts: 01 July 2002 Ends: 31 December 2005 Value (£): 271,630
EPSRC Research Topic Classifications:
Intelligent & Expert Systems Music & Acoustic Technology
EPSRC Industrial Sector Classifications:
Creative Industries
Related Grants:
Panel History:  
Summary on Grant Application Form
We proposae to generalise automatic speech recognition decoding algorithms for natural listening conditions, where the speech to be recognised is one of many sound sources which change unpredictably in space and time. The multisource decoder will be informed by bottom-up grouping processes which identify acoustic evidence likely to arise from single source, without deciding the identify of the source. These processes will be implemented by means of neural oscillators. The decoder will use stochastic models of known sources (typically, through not limited to, speech units). The decoder will select, and identify, the acoustic evidence which best matches model sequences. Missing data theory will be used to estimate the likelyhood of the alternative decoding. The multisource decoder will be evaluated as a roburst speech recognition system, and investigated as a model for the interaction between low level and high level processes in auditory grouping.
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Organisation Website: http://www.shef.ac.uk