Title
More than words: inference of socially relevant information from nonverbal vocal cues in speech
Abstract
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.
Year
Venue
Keywords
2010
Pattern Recognition
interesting perspective,social network,nonverbal communication,different interaction setting,broadcast data,social phenomenon,relevant information,simple prosodic feature,nonverbal vocal cue
DocType
Volume
ISSN
Conference
6456
0302-9743
Citations 
PageRank 
References 
0
0.34
7
Authors
8