Automatic detection of group functional roles in face to face interactions
Proceedings of the 8th international conference on Multimodal interfaces
Detection and application of influence rankings in small group meetings
Proceedings of the 8th international conference on Multimodal interfaces
SIGdial '08 Proceedings of the 9th SIGdial Workshop on Discourse and Dialogue
A privacy-sensitive approach to modeling multi-person conversations
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Dominance detection in meetings using easily obtainable features
MLMI'05 Proceedings of the Second international conference on Machine Learning for Multimodal Interaction
IEEE Transactions on Multimedia
SIGdial '08 Proceedings of the 9th SIGdial Workshop on Discourse and Dialogue
Locating case discussion segments in recorded medical team meetings
SSCS '09 Proceedings of the third workshop on Searching spontaneous conversational speech
IEEE Transactions on Multimedia
Automatic role recognition based on conversational and prosodic behaviour
Proceedings of the international conference on Multimedia
Proceedings of the 2nd international workshop on Social signal processing
Social correlates of turn-taking style
Computer Speech and Language
Detecting forum authority claims in online discussions
LSM '11 Proceedings of the Workshop on Languages in Social Media
Detecting laughter in spontaneous speech by constructing laughter bouts
International Journal of Speech Technology
Automatic meeting participant role detection by dialogue patterns
COST'09 Proceedings of the Second international conference on Development of Multimodal Interfaces: active Listening and Synchrony
The nonverbal structure of patient case discussions in multidisciplinary medical team meetings
ACM Transactions on Information Systems (TOIS)
Paralinguistics in speech and language-State-of-the-art and the challenge
Computer Speech and Language
Ten recent trends in computational paralinguistics
COST'11 Proceedings of the 2011 international conference on Cognitive Behavioural Systems
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An important task in automatic conversation understanding is the inference of social structure governing participant behavior. We explore the dependence between several social dimensions, including assigned role, gender, and seniority, and a set of low-level features descriptive of talkspurt deployment in a multiparticipant context. Experiments conducted on two large, publicly available meeting corpora suggest that our features are quite useful in predicting these dimensions, excepting gender. The classification experiments we present exhibit a relative error rate reduction of 37% to 67% compared to choosing the majority class.