Publication

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

2011
Book Chapters

Abstract

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.

Official source

Graph Chat

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

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

Chat with Graph Search

Happening, Scenografie, Installazioni

Merging Inhomogeneous Proximity Sensor Systems for Social Network Analysis

Rethinking Boolean Network Tomography