More Than Words: Inference of Socially Relevant Information from Nonverbal Vocal Cues in Speech

This paper presents two examples of how nonverbal commu- nication 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 dif- ferent interaction settings (broadcast data and meetings). Furthermore, the article outlines some of the most interesting perspectives in this line of research.


Editor(s):
Esposito, Anna
Esposito, Antonietta M.
Martone, Raffaele
Müller, Vincent C.
Scarpetta, Gaetano
Published in:
Toward Autonomous, Adaptive, and Context-Aware Multimodal Interfaces. Theoretical and Practical Issues, 23-33
Year:
2011
Publisher:
Berlin, Heidelberg, Springer
ISBN:
978-3-642-18183-2
Keywords:
Laboratories:




 Record created 2010-10-21, last modified 2018-01-28

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