LEADER 03927nam 22005535 450 001 9910337640903321 005 20200703084058.0 010 $a3-658-25152-2 024 7 $a10.1007/978-3-658-25152-9 035 $a(CKB)4100000007598318 035 $a(DE-He213)978-3-658-25152-9 035 $a(MiAaPQ)EBC5717960 035 $a(PPN)233798544 035 $a(EXLCZ)994100000007598318 100 $a20190128d2019 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDirectivity Based Multichannel Audio Signal Processing For Microphones in Noisy Acoustic Environments /$fby Simon Grimm 205 $a1st ed. 2019. 210 1$aWiesbaden :$cSpringer Fachmedien Wiesbaden :$cImprint: Springer Vieweg,$d2019. 215 $a1 online resource (XI, 127 p. 1 illus.) 225 1 $aSchriftenreihe der Institute für Systemdynamik (ISD) und optische Systeme (IOS),$x2661-8087 311 $a3-658-25151-4 327 $aDirectivity 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. 330 $aSimon Grimm examines new multi-microphone signal processing strategies that aim to achieve noise reduction and dereverberation. Therefore, narrow-band signal enhancement approaches are combined with broad-band processing in terms of directivity based beamforming. Previously introduced formulations of the multichannel Wiener filter rely on the second order statistics of the speech and noise signals. The author analyses how additional knowledge about the location of a speaker as well as the microphone arrangement can be used to achieve further noise reduction and dereverberation. The Content Directivity Based Reference for the Generalized Multichannel Wiener Filter Reference for the Binaural Multichannel Wiener Filter Wind Noise Reduction for a Closely Spaced Microphone Array Background Noise Simulation based on MIMO Equalization The Target Groups Lecturers and Students in the field of Speech Signal Processing Practitioners of Speech Signal Processing and Noise Reduction The Author Simon Grimm was a research assistant at the Institute of System Dynamics at the HTWG Konstanz, Germany, from October 2014 to March 2018. During his research period, he was working in the area of speech signal processing for multichannel microphone arrangements. He finished his Ph.D. in June 2018. Currently he is employed as a signal processing engineer at a German audio equipment manufacturer. 410 0$aSchriftenreihe der Institute für Systemdynamik (ISD) und optische Systeme (IOS),$x2661-8087 606 $aElectrical engineering 606 $aApplied mathematics 606 $aEngineering mathematics 606 $aComputers 606 $aElectrical Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/T24000 606 $aMathematical and Computational Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/T11006 606 $aInformation Systems and Communication Service$3https://scigraph.springernature.com/ontologies/product-market-codes/I18008 615 0$aElectrical engineering. 615 0$aApplied mathematics. 615 0$aEngineering mathematics. 615 0$aComputers. 615 14$aElectrical Engineering. 615 24$aMathematical and Computational Engineering. 615 24$aInformation Systems and Communication Service. 676 $a621.3 700 $aGrimm$b Simon$4aut$4http://id.loc.gov/vocabulary/relators/aut$0864696 906 $aBOOK 912 $a9910337640903321 996 $aDirectivity Based Multichannel Audio Signal Processing For Microphones in Noisy Acoustic Environments$91930066 997 $aUNINA