Pattern Recognition and Machine Learning (Information Science and Statistics)
Pattern Recognition and Machine Learning (Information Science and Statistics)
Data Mining: A Knowledge Discovery Approach
Data Mining: A Knowledge Discovery Approach
Broadcast news story segmentation using social network analysis and hidden markov models
Proceedings of the 15th international conference on Multimedia
Social signal processing: Survey of an emerging domain
Image and Vision Computing
Modeling dominance in group conversations using nonverbal activity cues
IEEE Transactions on Audio, Speech, and Language Processing - Special issue on multimodal processing in speech-based interactions
The AMI meeting corpus: a pre-announcement
MLMI'05 Proceedings of the Second international conference on Machine Learning for Multimodal Interaction
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This paper presents two examples of how nonverbal communication can be automatically detected and interpreted in terms of social phenomena. In particular, the presented approaches use simple prosodic features to distinguish between journalists and non-journalists in media, and extract social networks from turn-taking to recognize roles in different interaction settings (broadcast data and meetings). Furthermore, the article outlines some of the most interesting perspectives in this line of research.