LEADER 00800nam0 22002531i 450 001 990007303390403321 005 20021010 035 $a000730339 035 $aFED01000730339 035 $a(Aleph)000730339FED01 035 $a000730339 100 $a20021010d--------km-y0itay50------ba 101 0 $aita 200 1 $aEffetti degli incentivi diretti nelle convenienze all'insediamento dellle industrie 210 $as.l.$cs.e.$d1968 710 02$aItalia.$bMinistero del bilancio e della programmazione economica$0296352 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990007303390403321 951 $aXV R 402$b$c$dXV R 402 959 $aDTE 996 $aEffetti degli incentivi diretti nelle convenienze all'insediamento dellle industrie$9695933 997 $aUNINA DB $aGEN01 LEADER 01193nam0 22003131i 450 001 UON00235193 005 20231205103521.793 010 $a28-04-00987-4 100 $a20030730f1991 |0itac50 ba 101 $afre 102 $aBE 105 $a|||| 1|||| 200 1 $aGuldentop$ehistoire d'un fantôme$eroman$fMarie Gevers$gpréface de Anne-Marie La Fère$glecture de Pierre Halen 205 $aÉdition revue et corrigée 210 $aBruxelles$cLabor$dc1991 215 $a142 p.$d18 cm. 410 1$1001UON00173732$12001 $aEspace Nord$1210 $aBruxelles$cLabor.$v24 620 $aBE$dBruxelles$3UONL000128 676 $aB843$cLetteratura belga. Narrativa$v21 700 1$aGEVERS$bMarie$3UONV120506$0440174 702 1$aHALEN$bPierre$3UONV122223 702 1$aLA FERE$bAnne-Marie$3UONV146090 712 $aLabor$3UONV249823$4650 801 $aIT$bSOL$c20240220$gRICA 899 $aSIBA - SISTEMA BIBLIOTECARIO DI ATENEO$2UONSI 912 $aUON00235193 950 $aSIBA - SISTEMA BIBLIOTECARIO DI ATENEO$dSI Francese B 1 058 $eSI LO 68935/1 5 058 996 $aGuldentop$91232436 997 $aUNIOR LEADER 03376nam 22006375 450 001 9910299464803321 005 20251117075023.0 010 $a3-319-07130-0 024 7 $a10.1007/978-3-319-07130-5 035 $a(CKB)3710000000134634 035 $a(EBL)1783014 035 $a(SSID)ssj0001274440 035 $a(PQKBManifestationID)11673802 035 $a(PQKBTitleCode)TC0001274440 035 $a(PQKBWorkID)11334869 035 $a(PQKB)10636684 035 $a(MiAaPQ)EBC1783014 035 $a(DE-He213)978-3-319-07130-5 035 $a(PPN)179764438 035 $a(EXLCZ)993710000000134634 100 $a20140621d2014 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aRobust Speaker Recognition in Noisy Environments /$fby K. Sreenivasa Rao, Sourjya Sarkar 205 $a1st ed. 2014. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2014. 215 $a1 online resource (149 p.) 225 1 $aSpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning,$x2191-737X 300 $aDescription based upon print version of record. 311 08$a1-322-13629-7 311 08$a3-319-07129-7 320 $aIncludes bibliographical references at the end of each chapters. 327 $aRobust Speaker Verification ? A Review -- Speaker Verification in Noisy Environments using Gaussian Mixture Models -- Stochastic Feature Compensation for Robust Speaker Verification -- Robust Speaker Modeling for Speaker Verification in Noisy Environments. 330 $aThis book discusses speaker recognition methods to deal with realistic variable noisy environments. The text covers authentication systems for; robust noisy background environments, functions in real time and incorporated in mobile devices. The book focuses on different approaches to enhance the accuracy of speaker recognition in presence of varying background environments. The authors examine: (a) Feature compensation using multiple background models, (b) Feature mapping using data-driven stochastic models, (c) Design of super vector- based GMM-SVM framework for robust speaker recognition, (d) Total variability modeling (i-vectors) in a discriminative framework and (e) Boosting method to fuse evidences from multiple SVM models. 410 0$aSpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning,$x2191-737X 606 $aSignal processing 606 $aImage processing 606 $aSpeech processing systems 606 $aSignal, Image and Speech Processing$3https://scigraph.springernature.com/ontologies/product-market-codes/T24051 615 0$aSignal processing. 615 0$aImage processing. 615 0$aSpeech processing systems. 615 14$aSignal, Image and Speech Processing. 676 $a006.454 700 $aRao$b K. Sreenivasa$g(Krothapalli Sreenivasa),$4aut$4http://id.loc.gov/vocabulary/relators/aut$00 702 $aSarkar$b Sourjya$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910299464803321 996 $aRobust Speaker Recognition in Noisy Environments$94085735 997 $aUNINA