Directivity Based Multichannel Audio Signal Processing For Microphones in Noisy Acoustic Environments
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Simon Grimm examines new multi-microphone signal processing strategies that aim to achieve noise reduction and dereverberation. Therefore, narrow-band signal enhancement approaches are combined with broad-band processing in terms of directivity based beamforming. Previously introduced formulations of the multichannel Wiener filter rely on the second order statistics of the speech and noise signals. The author analyses how additional knowledge about the location of a speaker as well as the microphone arrangement can be used to achieve further noise reduction and dereverberation. Front Matter ....Pages I-XI Introduction (Simon Grimm)....Pages 1-5 Noise Reduction using Multichannel Signal Processing Approaches (Simon Grimm)....Pages 7-24 The Generalized Multichannel Wiener Filter (Simon Grimm)....Pages 25-31 Directivity Based Reference for the Generalized Multichannel Wiener Filter (Simon Grimm)....Pages 33-59 Reference for the Binaural Multichannel Wiener Filter (Simon Grimm)....Pages 61-79 Wind Noise Reduction for a Closely Spaced Microphone Array (Simon Grimm)....Pages 81-97 Background Noise Simulation based on MIMO Equalization (Simon Grimm)....Pages 99-109 Back Matter ....Pages 111-127
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