Multimodal Analyses Enabling Artificial Agents in Human-Machine Interaction - Livro de bolso

Livro na base de dados desde 2015-02-21T20:12:00-02:00 (Sao Paulo)
Página de detalhes modificada pela última vez em 2024-01-22T11:57:17-03:00 (Sao Paulo)
Número ISBN/EAN: 9783319155562

Número ISBN - Ortografia alternativa:
3-319-15556-3, 978-3-319-15556-2
Ortografia alternativa e termos de pesquisa relacionados:
Autor do livro: campbell, bon, böck, poppe, france, von bonin, bock, popp
Título do livro: multimodal, machine art, held, machine age, almost human, artificial, hmi, lecture notes computer science

Dados da editora

Autor: Ronald Böck; Francesca Bonin; Nick Campbell; Ronald Poppe
Título: Lecture Notes in Artificial Intelligence; Lecture Notes in Computer Science; 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
Editora: Springer; Springer International Publishing
109 Páginas
Ano de publicação: 2015-03-11
Cham; CH
Impresso / Feito em
Língua: Inglês
42,80 € (DE)
44,00 € (AT)
47,50 CHF (CH)
POD
XII, 109 p. 29 illus.

BC; Hardcover, Softcover / 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; Artificial Intelligence; User Interfaces and Human Computer Interaction; Computer and Information Systems Applications; Information Storage and Retrieval; Computers and Society; Computer Communication Networks; Mensch-Computer-Interaktion; Angewandte Informatik; Informationsrückgewinnung, Information Retrieval; Data Warehousing; Digital- und Informationstechnologien: soziale und ethische Aspekte; Netzwerk-Hardware; EA

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.