LEADER 06126nam 22007335 450 001 996466135203316 005 20200630215359.0 010 $a3-540-69268-1 024 7 $a10.1007/11965152 035 $a(CKB)1000000000283916 035 $a(SSID)ssj0000318739 035 $a(PQKBManifestationID)11265694 035 $a(PQKBTitleCode)TC0000318739 035 $a(PQKBWorkID)10336569 035 $a(PQKB)11693621 035 $a(DE-He213)978-3-540-69268-3 035 $a(MiAaPQ)EBC3068549 035 $a(PPN)123140277 035 $a(EXLCZ)991000000000283916 100 $a20100301d2006 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aMachine Learning for Multimodal Interaction$b[electronic resource] $eThird International Workshop, MLMI 2006, Bethesda, MD, USA, May 1-4, 2006, Revised Selected Papers /$fedited by Steve Renals, Samy Bengio, Jonathan Fiskus 205 $a1st ed. 2006. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2006. 215 $a1 online resource (XII, 470 p.) 225 1 $aInformation Systems and Applications, incl. Internet/Web, and HCI ;$v4299 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-540-69267-3 320 $aIncludes bibliographical references and index. 327 $aMLMI?06 -- Model-Based, Multimodal Interaction in Document Browsing -- The NIST Meeting Room Corpus 2 Phase 1 -- Audio-Visual Processing in Meetings: Seven Questions and Current AMI Answers -- A Multimodal Analysis of Floor Control in Meetings -- Combining User Modeling and Machine Learning to Predict Users? Multimodal Integration Patterns -- Using Audio, Visual, and Lexical Features in a Multi-modal Virtual Meeting Director -- A Study on Visual Focus of Attention Recognition from Head Pose in a Meeting Room -- Multi-person Tracking in Meetings: A Comparative Study -- Gaussian Mixture Models for CHASM Signature Verification -- Kalman Tracking with Target Feedback on Adaptive Background Learning -- Da Vinci?s Mona Lisa -- The Connector Service-Predicting Availability in Mobile Contexts -- Multimodal Input for Meeting Browsing and Retrieval Interfaces: Preliminary Findings -- Gesture Features for Coreference Resolution -- Syntactic Chunking Across Different Corpora -- Multistream Recognition of Dialogue Acts in Meetings -- Text Based Dialog Act Classification for Multiparty Meetings -- Detecting Action Items in Multi-party Meetings: Annotation and Initial Experiments -- Overlap in Meetings: ASR Effects and Analysis by Dialog Factors, Speakers, and Collection Site -- A Speaker Localization System for Lecture Room Environment -- Robust Speech Activity Detection in Interactive Smart-Room Environments -- Automatic Cluster Complexity and Quantity Selection: Towards Robust Speaker Diarization -- Speaker Diarization for Multi-microphone Meetings Using Only Between-Channel Differences -- Warped and Warped-Twice MVDR Spectral Estimation With and Without Filterbanks -- Robust Heteroscedastic Linear Discriminant Analysis and LCRC Posterior Features in Meeting Data Recognition -- Juicer: A Weighted Finite-State Transducer Speech Decoder -- Speech-to-Speech Translation Services for the Olympic Games 2008 -- The Rich Transcription 2006 Spring Meeting Recognition Evaluation -- The IBM RT06s Evaluation System for Speech Activity Detection in CHIL Seminars -- A Lightweight Speech Detection System for Perceptive Environments -- Robust Speaker Diarization for Meetings: ICSI RT06S Meetings Evaluation System -- Technical Improvements of the E-HMM Based Speaker Diarization System for Meeting Records -- The AMI Speaker Diarization System for NIST RT06s Meeting Data -- The 2006 Athens Information Technology Speech Activity Detection and Speaker Diarization Systems -- Speaker Diarization: From Broadcast News to Lectures -- The ISL RT-06S Speech-to-Text System -- The AMI Meeting Transcription System: Progress and Performance -- The IBM Rich Transcription Spring 2006 Speech-to-Text System for Lecture Meetings -- The ICSI-SRI Spring 2006 Meeting Recognition System -- The LIMSI RT06s Lecture Transcription System. 410 0$aInformation Systems and Applications, incl. Internet/Web, and HCI ;$v4299 606 $aArtificial intelligence 606 $aUser interfaces (Computer systems) 606 $aNatural language processing (Computer science) 606 $aComputers and civilization 606 $aOptical data processing 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aUser Interfaces and Human Computer Interaction$3https://scigraph.springernature.com/ontologies/product-market-codes/I18067 606 $aNatural Language Processing (NLP)$3https://scigraph.springernature.com/ontologies/product-market-codes/I21040 606 $aComputers and Society$3https://scigraph.springernature.com/ontologies/product-market-codes/I24040 606 $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021 615 0$aArtificial intelligence. 615 0$aUser interfaces (Computer systems). 615 0$aNatural language processing (Computer science). 615 0$aComputers and civilization. 615 0$aOptical data processing. 615 14$aArtificial Intelligence. 615 24$aUser Interfaces and Human Computer Interaction. 615 24$aNatural Language Processing (NLP). 615 24$aComputers and Society. 615 24$aImage Processing and Computer Vision. 676 $a006.3/1 702 $aRenals$b Steve$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aBengio$b Samy$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aFiskus$b Jonathan$4edt$4http://id.loc.gov/vocabulary/relators/edt 712 12$aWorkshop on Machine Learning for Multimodal Interaction 906 $aBOOK 912 $a996466135203316 996 $aMachine Learning for Multimodal Interaction$9772027 997 $aUNISA