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003 DE-He213
005 20160624102110.0
007 cr nn 008mamaa
008 100301s2007 gw | s |||| 0|eng d
020 _a9783540742005
_9978-3-540-74200-5
024 7 _a10.1007/978-3-540-74200-5
_2doi
050 4 _aQ334-342
050 4 _aTJ210.2-211.495
072 7 _aUYQ
_2bicssc
072 7 _aTJFM1
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
245 1 0 _aSpeaker Classification I
_h[electronic resource] :
_bFundamentals, Features, and Methods /
_cedited by Christian Müller.
260 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2007.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2007.
300 _aX, 355 p. Also available online.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v4343
505 0 _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.
520 _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.
650 0 _aComputer science.
650 0 _aArtificial intelligence.
650 0 _aTranslators (Computer programs).
650 0 _aComputer vision.
650 0 _aOptical pattern recognition.
650 1 4 _aComputer Science.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aLanguage Translation and Linguistics.
650 2 4 _aUser Interfaces and Human Computer Interaction.
650 2 4 _aPattern Recognition.
650 2 4 _aImage Processing and Computer Vision.
650 2 4 _aSignal, Image and Speech Processing.
700 1 _aMüller, Christian.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783540741862
786 _dSpringer
830 0 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v4343
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-540-74200-5
942 _2EBK7737
_cEBK
999 _c37031
_d37031