LEADER 01186nam0 22002891i 450 001 UON00266963 005 20231205103738.657 010 $a88-7178-020-5 100 $a20050926d2003 |0itac50 ba 101 $aita 102 $aIT 105 $a|||| ||||| 200 1 $aMicrocredito donne e sviluppo$eil caso dell'Eritrea$fFrancesca Zamperetti, Giovanna Franca Dalla Costa 210 $aPadova$cCLEUP Edizioni$d2003 215 $a203 p.$c2 c. geogr.$d25 cm 606 $aERITREA$xCondizioni economiche e sociali$3UONC021556$2FI 620 $aIT$dPadova$3UONL000153 676 $a963.5$cSTORIA DELL'ERITREA$v21 700 1$aZAMPERETTI$bFrancesca$3UONV156733$0690428 701 1$aDALLA_COSTA$bGiovanna Franca$3UONV156734$0483011 712 $aCooperativa Libraria Editrice Universitą di Padova$3UONV267190$4650 801 $aIT$bSOL$c20240220$gRICA 899 $aSIBA - SISTEMA BIBLIOTECARIO DI ATENEO$2UONSI 912 $aUON00266963 950 $aSIBA - SISTEMA BIBLIOTECARIO DI ATENEO$dSI ET XII D a 054 $eSI AA 27557 7 054 996 $aMicrocredito donne e sviluppo$91240397 997 $aUNIOR LEADER 02186nam 22003853 450 001 996602571203316 005 20240617084511.0 010 $a9783110981742$b(electronic bk.) 035 $a(MiAaPQ)EBC31465753 035 $a(Au-PeEL)EBL31465753 035 $a(CKB)32293740800041 035 $a(EXLCZ)9932293740800041 100 $a20240617d2024 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aFormal Perspectives on Secondary Predication 205 $a1st ed. 210 1$aBasel/Berlin/Boston :$cDe Gruyter, Inc.,$d2024. 210 4$d©2024. 215 $a1 online resource (430 pages) 225 1 $aThe Mouton-NINJAL Library of Linguistics [MNLL] Series ;$vv.8 311 08$aPrint version: den Dikken, Marcel Formal Perspectives on Secondary Predication Basel/Berlin/Boston : De Gruyter, Inc.,c2024 327 $aIntro -- Series preface -- Preface -- Contents -- Contributors -- Chapter 1 Formal perspectives on secondary predication - An introduction -- Chapter 2 The syntax and semantics of indirect predication in French -- Chapter 3 On the syntax of psychological expressions in Japanese: their predicative and adjunctive nature -- Chapter 4 Event lexicalization in Hungarian -- Chapter 5 Precise standards license adjectives in the English resultative construction -- Chapter 6 The syntax of resultative V-V compounds in Chinese -- Chapter 7 (Re)sultatives -- Chapter 8 On the forms of secondary predicates: A Japanese perspective -- Chapter 9 Depictive predicates with not so complex structures: An empirical argument for functional projections -- Chapter 10 Spanish depictives and aspectual consecutio in non-verbal environments -- Chapter 11 On the merger and antecedence of depictive secondary predicates -- Index. 410 4$aThe Mouton-NINJAL Library of Linguistics [MNLL] Series 700 $aden Dikken$b Marcel$0221578 701 $aKishimoto$b Hideki$01741957 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a996602571203316 996 $aFormal Perspectives on Secondary Predication$94168465 997 $aUNISA LEADER 03381nam 22006375 450 001 9910299464803321 005 20240228235259.0 010 $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 $a1-322-13629-7 311 $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$01614710 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