LEADER 03951oam 2200553 450 001 996465305303316 005 20210513113026.0 010 $a3-540-74200-X 024 7 $a10.1007/978-3-540-74200-5 035 $a(CKB)1000000000490997 035 $a(SSID)ssj0000320157 035 $a(PQKBManifestationID)11244790 035 $a(PQKBTitleCode)TC0000320157 035 $a(PQKBWorkID)10348803 035 $a(PQKB)11109302 035 $a(DE-He213)978-3-540-74200-5 035 $a(MiAaPQ)EBC3063468 035 $a(MiAaPQ)EBC6408007 035 $a(PPN)123164273 035 $a(EXLCZ)991000000000490997 100 $a20210513d2007 uy 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 00$aSpeaker classification I $efundamentals, features and methods /$fChristian Müller (editor) 205 $a1st ed. 2007. 210 1$aBerlin ;$aHeidelberg ;$aNew York :$cSpringer,$d[2007] 210 4$d©2007 215 $a1 online resource (X, 355 p.) 225 1 $aLecture Notes in Artificial Intelligence ;$v4343 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-540-74186-0 320 $aIncludes bibliographical references and index. 327 $aFundamentals -- How Is Individuality Expressed in Voice? An Introduction to Speech Production and Description for Speaker Classification -- Speaker Classification Concepts: Past, Present and Future -- Characteristics -- Speaker Characteristics -- Foreign Accent -- Acoustic Analysis of Adult Speaker Age -- Speech Under Stress: Analysis, Modeling and Recognition -- Speaker Characteristics and Emotion Classification -- Emotions in Speech: Juristic Implications -- Applications -- Application of Speaker Classification in Human Machine Dialog Systems -- Speaker Classification in Forensic Phonetics and Acoustics -- Forensic Automatic Speaker Classification in the ?Coming Paradigm Shift? -- The Many Roles of Speaker Classification in Speaker Verification and Identification -- Methods and Features -- Frame Based Features -- Higher-Level Features in Speaker Recognition -- Enhancing Speaker Discrimination at the Feature Level -- Classification Methods for Speaker Recognition -- Multi-stream Fusion for Speaker Classification -- Evaluation -- Evaluations of Automatic Speaker Classification Systems -- An Introduction to Application-Independent Evaluation of Speaker Recognition Systems. 330 $aAs well as conveying a message in words and sounds, the speech signal carries information about the speaker's own anatomy, physiology, linguistic experience and mental state. These speaker characteristics are found in speech at all levels of description: from the spectral information in the sounds to the choice of words and utterances themselves. This volume and its companion volume, LNAI 4441, constitute a state-of-the-art survey for the field of speaker classification. They approach the following questions: What characteristics of the speaker become manifest in his or her voice and speaking behavior? Which of them can be inferred from analyzing the acoustic realizations? What can this information be used for? Which methods are the most suitable for diversified problems in this area of research? How should the quality of the results be evaluated? The 19 contributions to this volume comprise general and overview-like articles that are organized in topical sections on fundamentals, characteristics, applications, methods and features, as well as evaluation. 410 0$aLecture Notes in Artificial Intelligence ;$v4343 606 $aAutomatic speech recognition 615 0$aAutomatic speech recognition. 676 $a006.454 702 $aMüller$b Christian 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bUtOrBLW 906 $aBOOK 912 $a996465305303316 996 $aSpeaker Classification I$9772270 997 $aUNISA