LEADER 00954nam0-22002891i-450- 001 990000138100403321 035 $a000013810 035 $aFED01000013810 035 $a(Aleph)000013810FED01 035 $a000013810 100 $a20011111d--------km-y0itay50------ba 101 0 $aita 105 $ay-------001yy 200 1 $aNote sul concetto di resistenza negativa$fNello Carrara. 210 $aMilano$cIndustrie grafiche italiane Stucchi$d1937 215 $a11 p.$cill.$d23 cm 225 1 $aR. Istituto elettrotecnico e delle comunicazioni della marina. R. ACademia navale. Livorno$v121 300 $aEstr. da: Rendiconti dell'A.E.I., Roma, 18-24 ottobre 1936. 700 1$aCarrara,$bNello$08775 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990000138100403321 952 $a13 MISC 423 06$b17066/6$fFINBC 959 $aFINBC 996 $aNote sul concetto di resistenza negativa$9113474 997 $aUNINA DB $aING01 LEADER 00935nam0-2200313 --450 001 9910252958003321 005 20180205163840.0 010 $a978-88-467-3710-6 100 $a20180205d2014----kmuy0itay5050 ba 101 1 $aita$cfre 102 $aIT 105 $aa 001yy 200 1 $aScienze del paesaggio$etra teorie e pratiche$fPierre Donadieu$gtraduzione di Andrea Inzerillo 210 $aPisa$cETS$d2014 215 $aXXIV, 298 p.$cill.$d21 cm 225 1 $aTerre e paesaggi di confine$iSaggi$v2 454 0$12001$aSciences du paysage$91386872 610 0 $aPaesaggio 676 $a712.6094$v23$zita 676 $a712.01$v23$zita 700 1$aDonadieu,$bPierre$0446140 702 1$aInzerillo,$bAndrea 801 0$aIT$bUNINA$gREICAT$2UNIMARC 901 $aBK 912 $a9910252958003321 952 $ai712.6 DON 1$bbibl. 2017$fFLFBC 959 $aFLFBC 996 $aSciences du paysage$91386872 997 $aUNINA LEADER 04796nam 22006854a 450 001 9910971031503321 005 20250609110102.0 010 $a1-280-20626-8 010 $a9786610206261 010 $a0-306-47027-6 024 7 $a10.1007/b118036 035 $a(CKB)111036011523124 035 $a(EBL)3035449 035 $a(SSID)ssj0000239032 035 $a(PQKBManifestationID)11236402 035 $a(PQKBTitleCode)TC0000239032 035 $a(PQKBWorkID)10238994 035 $a(PQKB)10609468 035 $a(DE-He213)978-0-306-47027-1 035 $a(Au-PeEL)EBL3035449 035 $a(CaPaEBR)ebr10047452 035 $a(CaONFJC)MIL20626 035 $a(OCoLC)55663811 035 $a(PPN)237931591 035 $a(MiAaPQ)EBC3035449 035 $a(MiAaPQ)EBC196930 035 $a(EXLCZ)99111036011523124 100 $a20000417d2000 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aRobust speech recognition in embedded systems and PC applications /$fby Jean-Claude Junqua 205 $a1st ed. 2002. 210 $aBoston, MA $cKluwer Academic Publishers$d2000 215 $a1 online resource (200 p.) 225 1 $aThe Kluwer international series in engineering and computer science ;$vSECS 563 300 $aDescription based upon print version of record. 311 08$a1-4757-7340-4 311 08$a0-7923-7873-3 320 $aIncludes bibliographical references and index. 327 $aSources of Variability and Distortion in the Communication Process -- Environment-Independent Adaptive Speech Recognition: A Review of the State of the Art -- Confidence Measures, Dialog Modeling and User Interface -- From Cost Sensitive Embedded Applications to PC-based Systems -- Future Outlook for Robust ASR. 330 $aRobust Speech Recognition in Embedded Systems and PC Applications provides a link between the technology and the application worlds. As speech recognition technology is now good enough for a number of applications and the core technology is well established around hidden Markov models many of the differences between systems found in the field are related to implementation variants. We distinguish between embedded systems and PC-based applications. Embedded applications are usually cost sensitive and require very simple and optimized methods to be viable. Robust Speech Recognition in Embedded Systems and PC Applications reviews the problems of robust speech recognition, summarizes the current state of the art of robust speech recognition while providing some perspectives, and goes over the complementary technologies that are necessary to build an application, such as dialog and user interface technologies. Robust Speech Recognition in Embedded Systems and PC Applications is divided into five chapters. The first one reviews the main difficulties encountered in automatic speech recognition when the type of communication is unknown. The second chapter focuses on environment-independent/adaptive speech recognition approaches and on the mainstream methods applicable to noise robust speech recognition. The third chapter discusses several critical technologies that contribute to making an application usable. It also provides some design recommendations on how to design prompts, generate user feedback and develop speech user interfaces. The fourth chapter reviews several techniques that are particularly useful for embedded systems or to decrease computational complexity. It also presents some case studies for embedded applications and PC-based systems. Finally, the fifth chapter provides a future outlook for robust speech recognition, emphasizing the areas that the author sees as the most promising for the future. Robust Speech Recognition in Embedded Systems and PC Applications serves as a valuable reference and although not intended as a formal University textbook, contains some material that can be used for a course at the graduate or undergraduate level. It is a good complement for the book entitled Robustness in Automatic Speech Recognition: Fundamentals and Applications co-authored by the same author. 410 0$aKluwer international series in engineering and computer science ;$vSECS 563. 606 $aEmbedded computer systems 606 $aAutomatic speech recognition 606 $aMicrocomputers 615 0$aEmbedded computer systems. 615 0$aAutomatic speech recognition. 615 0$aMicrocomputers. 676 $a006.4/54 700 $aJunqua$b Jean-Claude$0291492 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910971031503321 996 $aRobust speech recognition in embedded systems and PC applications$94392764 997 $aUNINA