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Wind noise reduction for a closely spaced microphone array in a car environment

  • This work studies a wind noise reduction approach for communication applications in a car environment. An endfire array consisting of two microphones is considered as a substitute for an ordinary cardioid microphone capsule of the same size. Using the decomposition of the multichannel Wiener filter (MWF), a suitable beamformer and a single-channel post filter are derived. Due to the known array geometry and the location of the speech source, assumptions about the signal properties can be made to simplify the MWF beamformer and to estimate the speech and noise power spectral densities required for the post filter. Even for closely spaced microphones, the different signal properties at the microphones can be exploited to achieve a significant reduction of wind noise. The proposed beamformer approach results in an improved speech signal regarding the signal-to-noise-ratio and keeps the linear speech distortion low. The derived post filter shows equal performance compared to known approaches but reduces the effort for noise estimation.

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Author:Simon GrimmGND, Jürgen FreudenbergerORCiDGND
Parent Title (English):EURASIP Journal on Audio, Speech, and Music Processing
Document Type:Article
Year of Publication:2018
Release Date:2018/12/20
Tag:MVDR beamforming; Multichannel Wiener filter; Wind noise reduction; Speech signal processing; MEMS microphones
Page Number:9
Institutes:Institut für Systemdynamik - ISD
DDC functional group:621.3 Elektrotechnik, Elektronik
Open Access?:Ja
Relevance:Peer reviewed Publikation in Master Journal List