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020 _a9783319155579
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024 7 _a10.1007/978-3-319-15557-9
_2doi
050 4 _aQ334-342
050 4 _aTA347.A78
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
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072 7 _aUYQ
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082 0 4 _a006.3
_223
245 1 0 _aMultimodal Analyses enabling Artificial Agents in Human-Machine Interaction
_h[electronic resource] :
_bSecond International Workshop, MA3HMI 2014, Held in Conjunction with INTERSPEECH 2014, Singapore, Singapore, September 14, 2014, Revised Selected Papers /
_cedited by Ronald Böck, Francesca Bonin, Nick Campbell, Ronald Poppe.
250 _a1st ed. 2015.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2015.
300 _aXII, 109 p. 29 illus.
_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 Artificial Intelligence,
_x2945-9141 ;
_v8757
505 0 _aAnnotating the TCD D-ANS Corpus - A Multimodal Multimedia Monolingual Biometric Corpus of Spoken Social Interaction.- Steps Towards More Natural Human-Machine Interaction via Audio-Visual Word Prominence Detection -- Improving Robustness Against Environmental Sounds for Directing Attention of Social Robots.- On Annotation and Evaluation of Multi-modal Corpora in Affective Human-Computer Interaction.- Modelling User Experience in Human-Robot Interactions.- Disposition Recognition from Spontaneous Speech Towards a Combination with Co-speech Gestures.- ASR Independent Hybrid Recurrent Neural Network Based Error Correction for Dialog System Applications.- Acquisition and Use of Long-Term Memory for Personalized Dialog Systems -- An Automatic Shout Detection System Using Speech Production Features.- Collecting Data for Automatic Speech Recognition Systems in Dialectal Arabic Using Games with a Purpose -- A Multimodal Multimedia Monolingual Biometric Corpus of Spoken Social Interaction.- Steps Towards More Natural Human-Machine Interaction via Audio-Visual Word Prominence Detection -- Improving Robustness Against Environmental Sounds for Directing Attention of Social Robots.- On Annotation and Evaluation of Multi-modal Corpora in Affective Human-Computer Interaction -- Modelling User Experience in Human-Robot Interactions.-Disposition Recognition from Spontaneous Speech Towards a Combination with Co-speech Gestures.- ASR Independent Hybrid Recurrent Neural Network Based Error Correction for Dialog System Applications.- Acquisition and Use of Long-Term Memory for Personalized Dialog Systems.- An Automatic Shout Detection System Using Speech Production Features.- Collecting Data for Automatic Speech Recognition Systems in Dialectal Arabic Using Games with a Purpose.
520 _aThis book constitutes the thoroughly refereed post-workshop proceedings of the Second Workshop on Multimodal Analyses Enabling Artificial Agents in Human Interaction, MA3HMI 2014, held in Conjunction with INTERSPEECH 2014, in Singapore, Singapore, on September 14th, 2014. The 9 revised papers presented together with a keynote talk were carefully reviewed and selected from numerous submissions. They are organized in two sections: human-machine interaction and dialogs and speech recognition.
650 0 _aArtificial intelligence.
_93407
650 0 _aUser interfaces (Computer systems).
_911681
650 0 _aHuman-computer interaction.
_96196
650 0 _aApplication software.
_9143405
650 0 _aInformation storage and retrieval systems.
_922213
650 0 _aComputers and civilization.
_921733
650 0 _aComputer networks .
_931572
650 1 4 _aArtificial Intelligence.
_93407
650 2 4 _aUser Interfaces and Human Computer Interaction.
_931632
650 2 4 _aComputer and Information Systems Applications.
_9143406
650 2 4 _aInformation Storage and Retrieval.
_923927
650 2 4 _aComputers and Society.
_931668
650 2 4 _aComputer Communication Networks.
_9143407
700 1 _aBöck, Ronald.
_eeditor.
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700 1 _aBonin, Francesca.
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_9143409
700 1 _aCampbell, Nick.
_eeditor.
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_9143410
700 1 _aPoppe, Ronald.
_eeditor.
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_9143411
710 2 _aSpringerLink (Online service)
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773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
_z9783319155586
830 0 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v8757
_9143413
856 4 0 _uhttps://doi.org/10.1007/978-3-319-15557-9
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