Pattern Recognition and Machine Learning (Information Science and Statistics)
Pattern Recognition and Machine Learning (Information Science and Statistics)
ICMI '08 Proceedings of the 10th international conference on Multimodal interfaces
Initial study on automatic identification of speaker role in broadcast news speech
NAACL-Short '06 Proceedings of the Human Language Technology Conference of the NAACL, Companion Volume: Short Papers
Social signal processing: Survey of an emerging domain
Image and Vision Computing
Automatic role recognition based on conversational and prosodic behaviour
Proceedings of the international conference on Multimedia
Detecting individual role using features extracted from speaker diarization results
Multimedia Tools and Applications
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The automatic analysis of social interactions is attracting significant interest in the multimedia community. This work addresses one of the most important aspects of the problem, namely the recognition of roles in social exchanges. The proposed approach is based on Social Network Analysis, for the representation of individuals in terms of their interactions with others, and probabilistic sequential models, for the recognition of role sequences underlying the sequence of speakers in conversations. The experiments are performed over different kinds of data (around 90 hours of broadcast data and meetings), and show that the performance depends on how formal the roles are, i.e. on how much they constrain people behavior.