LEADER 03446nam 22006855 450 001 9910299687603321 005 20200706044137.0 010 $a3-319-12955-4 024 7 $a10.1007/978-3-319-12955-6 035 $a(CKB)3710000000379566 035 $a(EBL)2095423 035 $a(SSID)ssj0001465427 035 $a(PQKBManifestationID)11967630 035 $a(PQKBTitleCode)TC0001465427 035 $a(PQKBWorkID)11472129 035 $a(PQKB)11088818 035 $a(DE-He213)978-3-319-12955-6 035 $a(MiAaPQ)EBC2095423 035 $z(PPN)258862025 035 $a(PPN)18489056X 035 $a(EXLCZ)993710000000379566 100 $a20150331d2015 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 12$aA Conceptual Framework for Noise Reduction /$fby Jacob Benesty, Jingdong Chen 205 $a1st ed. 2015. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2015. 215 $a1 online resource (95 p.) 225 1 $aSpringerBriefs in Electrical and Computer Engineering,$x2191-8112 300 $aDescription based upon print version of record. 311 $a3-319-12954-6 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $a1 Introduction -- 2 Conceptual Framework -- 3 Single-Channel Noise Reduction in the Time Domain -- 4 Single-Channel Noise Reduction in the STFT Domain with Interframe Correlation -- 5 Binaural Noise Reduction in the Time Domain -- 6 Multichannel Noise Reduction in the STFT Domain. 330 $aThough noise reduction and speech enhancement problems have been studied for at least five decades, advances in our understanding and the development of reliable algorithms are more important than ever, as they support the design of tailored solutions for clearly defined applications. In this work, the authors propose a conceptual framework that can be applied to the many different aspects of noise reduction, offering a uniform approach to monaural and binaural noise reduction problems, in the time domain and in the frequency domain, and involving a single or multiple microphones. Moreover, the derivation of optimal filters is simplified, as are the performance measures used for their evaluation. 410 0$aSpringerBriefs in Electrical and Computer Engineering,$x2191-8112 606 $aSignal processing 606 $aImage processing 606 $aSpeech processing systems 606 $aElectrical engineering 606 $aSignal, Image and Speech Processing$3https://scigraph.springernature.com/ontologies/product-market-codes/T24051 606 $aCommunications Engineering, Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/T24035 615 0$aSignal processing. 615 0$aImage processing. 615 0$aSpeech processing systems. 615 0$aElectrical engineering. 615 14$aSignal, Image and Speech Processing. 615 24$aCommunications Engineering, Networks. 676 $a620.23 700 $aBenesty$b Jacob$4aut$4http://id.loc.gov/vocabulary/relators/aut$0721063 702 $aChen$b Jingdong$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910299687603321 996 $aA Conceptual Framework for Noise Reduction$92521953 997 $aUNINA