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Hier finden Sie wissenschaftliche Publikationen aus den FraunhoferInstituten. A Bayesian approach to spatial filtering and diffuse power estimation for joint dereverberation and noise reduction
 Institute of Electrical and Electronics Engineers IEEE; IEEE Signal Processing Society: IEEE 40th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2015. Proceedings. Vol.2 : 1924 April 2015, Brisbane, Australia Piscataway, NJ: IEEE, 2015 ISBN: 9781467369978 ISBN: 9781467369985 pp.753757 
 International Conference on Acoustics, Speech, and Signal Processing (ICASSP) <40, 2015, Brisbane> 

 English 
 Conference Paper 
 Fraunhofer IIS () 
Abstract
A spatial filter, with L linear constraints that are based on instantaneous narrowband directionofarrival (DOA) estimates, was recently proposed to obtain a desired spatial response for at most L sound sources. In noisy and reverberant environments, it becomes difficult to get reliable instantaneous DOA estimates and hence obtain the desired spatial response. In this work, we develop a Bayesian approach to spatial filtering that is more robust to DOA estimation errors. The resulting filter is a weighted sum of spatial filters pointed at a discrete set of DOAs, with the relative contribution of each filter determined by the posterior distribution of the discrete DOAs given the microphone signals. In addition, the proposed spatial filter is able to reduce both reverberation and noise. In this work, the required diffuse sound power is estimated using the posterior distribution of the discrete set of DOAs. Simulation results demonstrate the ability of the proposed filter to achieve strong suppression of the undesired signal components with small amount of signal distortion, in noisy and reverberant conditions.