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Details of Grant 

EPSRC Reference: GR/S85900/01
Title: Advanced Subband Systems for Audio Source Separation
Principal Investigator: Plumbley, Professor M
Other Investigators:
Sandler, Professor M Davies, Professor M
Researcher Co-Investigators:
Dr N Mitianoudis
Project Partners:
Department: Sch of Electronic Eng & Computer Science
Organisation: Queen Mary University of London
Scheme: Standard Research (Pre-FEC)
Starts: 01 June 2004 Ends: 29 February 2008 Value (£): 176,431
EPSRC Research Topic Classifications:
Digital Signal Processing
EPSRC Industrial Sector Classifications:
Communications Aerospace, Defence and Marine
Related Grants:
Panel History:  
Summary on Grant Application Form
Humans primarily use phase Information to localize sounds at low frequency, whereas In the upper frequencies Intensity differences dominate due to inherent phase ambiguities. We aim to exploit this Idea to develop new adaptive BSS algorithms that are robust to source/sensor movement and noise. These algorithms will sacrifice exact phase reconstruction at high frequency for algorithm robustness. However rather than trying to simply mimic human audition we will take an engineering approach and Identify the sensitivity of phase and amplitude within the problem and thus determine the best solutions within our computational framework. We will apply these new methods to both blind and semi-blind (ones that exploit known sensor Information) adaptive systems and all algorithms will be thoroughly evaluated, both objectively and subjectively to determine performance and robustnessThe project will also focus on the computational cost of the BSS algorithms. For such systems to be useful In future electronic devices, such as digital hearing aids or tele-conferencing systems It Is Important that the solutions can be Implemented In a real time manner. To this end we will build a real time prototype system to test our new Ideas.
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