LEADER 01236nam0-2200421---450- 001 990000754380203316 005 20050112142144.0 010 $a88-459-0890-9 020 $aIT$b92-10230 035 $a0075438 035 $aUSA010075438 035 $a(ALEPH)000075438USA01 035 $a0075438 100 $a20011120d1992----y0itay01 ba 101 $aita 102 $aIT 105 $a00||| 200 1 $a<> lettere di Groucho Marx$ftraduzione di Davide Tortorella 210 $aMilano$cAdelphi$d[1992] 215 $a373 p.$d22 cm 225 2 $aBiblioteca Adelphi$v249. 410 0$12001$aBiblioteca Adelphi$v249. 454 1$12001$aThe Groucho letters$938767 676 $a791.43 700 1$aMARX,$bGroucho$0549979 702 1$aTORTORELLA,$bDavide 801 0$aIT$bBNI$c19950210$gRICA 912 $a990000754380203316 951 $aVII.4.A. 24(VARIE COLL.87/249)$b130635 LM$cVARIE COLL. 959 $aBK 969 $aUMA 979 $aPATTY$b90$c20011120$lUSA01$h1353 979 $aPATTY$b90$c20011120$lUSA01$h1354 979 $c20020403$lUSA01$h1723 979 $aPATRY$b90$c20040406$lUSA01$h1652 979 $aCOPAT3$b90$c20050112$lUSA01$h1421 996 $aThe Groucho letters$938767 997 $aUNISA LEADER 03770nam 22006735 450 001 9910416086303321 005 20250610110329.0 010 $a981-329-196-6 024 7 $a10.1007/978-981-32-9196-6 035 $a(CKB)4100000011373005 035 $a(DE-He213)978-981-32-9196-6 035 $a(MiAaPQ)EBC6276198 035 $a(PPN)250213273 035 $a(MiAaPQ)EBC29092458 035 $a(EXLCZ)994100000011373005 100 $a20200803d2020 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aPathological Voice Analysis /$fby David Zhang, Kebin Wu 205 $a1st ed. 2020. 210 1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2020. 215 $a1 online resource (X, 174 p. 44 illus., 41 illus. in color.) 300 $aIncludes index. 311 08$a981-329-195-8 327 $aCHAPTER 1 INTRODUCTION -- CHAPTER 2 PATHOLOGICAL VOICE ACQUISITION -- CHAPTER 3 PITCH ESTIMATION -- CHAPTER 4 GLOTTAL CLOSURE INSTANTS DETECTION -- CHAPTER 5 FEATURE LEARNING -- CHAPTER 6 JOINT LEARNING FOR VOICE BASED DISEASE DETECTION -- CHAPTER 7 ROBUST MULTI VIEW DISCRIMINATIVE LEARNING FOR VOICE BASED DISEASE DETECTION -- CHAPTER 8 BOOK REVIEW AND FUTURE WORK. 330 $aWhile voice is widely used in speech recognition and speaker identification, its application in biomedical fields is much less common. This book systematically introduces the authors? research on voice analysis for biomedical applications, particularly pathological voice analysis. Firstly, it reviews the field to highlight the biomedical value of voice. It then offers a comprehensive overview of the workflow and aspects of pathological voice analysis, including voice acquisition systems, voice pitch estimation methods, glottal closure instant detection, feature extraction and learning, and the multi-audio fusion approaches. Lastly, it discusses the experimental results that have shown the superiority of these techniques. This book is useful to researchers, professionals and postgraduate students working in fields such as speech signal processing, pattern recognition, and biomedical engineering. It is also a valuable resource for those involved in interdisciplinary research. . 606 $aPattern perception 606 $aSignal processing 606 $aImage processing 606 $aSpeech processing systems 606 $aBiomedical engineering 606 $aSpeech disorders 606 $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X 606 $aSignal, Image and Speech Processing$3https://scigraph.springernature.com/ontologies/product-market-codes/T24051 606 $aBiomedical Engineering and Bioengineering$3https://scigraph.springernature.com/ontologies/product-market-codes/T2700X 606 $aSpeech Pathology$3https://scigraph.springernature.com/ontologies/product-market-codes/H79000 615 0$aPattern perception. 615 0$aSignal processing. 615 0$aImage processing. 615 0$aSpeech processing systems. 615 0$aBiomedical engineering. 615 0$aSpeech disorders. 615 14$aPattern Recognition. 615 24$aSignal, Image and Speech Processing. 615 24$aBiomedical Engineering and Bioengineering. 615 24$aSpeech Pathology. 676 $a616.85 700 $aZhang$b David$4aut$4http://id.loc.gov/vocabulary/relators/aut$0763056 702 $aWu$b Kebin$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910416086303321 996 $aPathological Voice Analysis$92104136 997 $aUNINA