Multimodal Analyses enabling Artificial Agents in Human-Machine Interaction - libro nuevo

Libro en la base de datos desde 2015-04-11T10:09:32-05:00 (Mexico City)
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ISBN/EAN: 9783319155579

ISBN - escritura alterna:
978-3-319-15557-9
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Autor del libro: poppe, bock, böck, campbell, berlin, bonin
Título del libro: the machine seen, hmi

Datos del la editorial

Autor: Ronald Böck; Francesca Bonin; Nick Campbell; Ronald Poppe
Título: Lecture Notes in Computer Science; Lecture Notes in Artificial Intelligence; Multimodal Analyses enabling Artificial Agents in Human-Machine Interaction - Second International Workshop, MA3HMI 2014, Held in Conjunction with INTERSPEECH 2014, Singapore, Singapore, September 14, 2014, Revised Selected Papers
Editorial: Springer; Springer International Publishing
109 Páginas
Año de publicación: 2015-02-11
Cham; CH
Idioma: Inglés
42,79 € (DE)
44,00 € (AT)
47,50 CHF (CH)
Available
XII, 109 p. 29 illus.

EA; E107; eBook; Nonbooks, PBS / Informatik, EDV/Informatik; Künstliche Intelligenz; Verstehen; Affective computing; Artificial agents and systems; Human-computer interaction; Multimodal analyses; Multimodal interaction; Multimodality; analysis of user state and emotions; biometric data; collaborative and social computing; converzational agent; corpus presentation; interactive speech synthesis; machine learning; perceptual computing; personalization; recurrent neural network; speech analyses; speech recognition; user model; user studies; C; Artificial Intelligence; User Interfaces and Human Computer Interaction; Computer and Information Systems Applications; Information Storage and Retrieval; Computers and Society; Computer Communication Networks; Computer Science; Mensch-Computer-Interaktion; Angewandte Informatik; Informationsrückgewinnung, Information Retrieval; Data Warehousing; Digital- und Informationstechnologien: soziale und ethische Aspekte; Netzwerk-Hardware; BC

This 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.

Annotating 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.