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Details of Grant 

EPSRC Reference: GR/R69228/01
Title: Blind Signal Processing for Multichannel Speech Enhancement
Principal Investigator: Chambers, Professor J
Other Investigators:
Researcher Co-Investigators:
Professor A Cichocki Dr T Hoya
Project Partners:
Department: Physics
Organisation: Kings College London
Scheme: Standard Research (Pre-FEC)
Starts: 25 May 2002 Ends: 31 December 2003 Value (£): 165,909
EPSRC Research Topic Classifications:
Digital Signal Processing
EPSRC Industrial Sector Classifications:
Communications
Related Grants:
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Summary on Grant Application Form
The aim of the research s to exploit the potential of blind signal processing for multichannel speech enhancement. The problem of blind source separation of convolutive mixtures, as in a reverberant room environment, is the particular focus. The research plan is therefore to investigate multi-resolution frequency-domain based blind source separation techniques and signal envelope characteristics to overcome the associated permutation ambiguity and to study the use of joint diagonalisation techniques in the context of convolutive mixtures. Extention of these techniques for operation in non-stationary environments and in the presence of multiple noise componetns is to be studied. A new combined adaptive noise canceller/beamformer and lblind source separation approach for speech enhancement is also to be developed in order to overcome the problem of signal leakage into the reference signal. The blind source separation scheme is anticipated to provide a much improved noise reference signal, whereas the adaptive noise canceller, realised either int he time or frequency domain, should compensate futher for the ocnvolutive effects inthe environment. Initially, the work is to be set int he two-channel situation, characteristic of video-conferencing, but later extended to a larger number of fhannels. A database of multichannel recordings ist o be acquired and extensive objective and subjective testing tis to be performed. Where appropriate, mathematical analysis is to be undertaken to substantiate the performance charactreistics of the methods.
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