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Directivity Based Multichannel Audio Signal Processing For Microphones in Noisy Acoustic Environments

Simon Grimm

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English
Springer Vieweg
07 February 2019
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.
By:  
Imprint:   Springer Vieweg
Country of Publication:   Germany
Edition:   2019 ed.
Dimensions:   Height: 210mm,  Width: 148mm, 
Weight:   454g
ISBN:   9783658251512
ISBN 10:   3658251514
Series:   Schriftenreihe der Institute für Systemdynamik (ISD) und optische Systeme (IOS)
Pages:   127
Publication Date:  
Audience:   Professional and scholarly ,  Undergraduate
Format:   Paperback
Publisher's Status:   Active
Directivity Based Reference for the Generalized Multichannel Wiener Filter.- Reference for the Binaural Multichannel Wiener Filter.- Wind Noise Reduction for a Closely Spaced Microphone Array.- Background Noise Simulation based on MIMO Equalization.

Simon Grimm was a research assistant at the Institute of System Dynamics at the HTWG Konstanz, Germany, from October 2014 to March 2018. During his research period, he was working in the area of speech signal processing for multichannel microphone arrangements. He finished his Ph.D. in June 2018. Currently he is employed as a signal processing engineer at a German audio equipment manufacturer.

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