Social correlates of turn-taking style

Authors:
John Grothendieck;Allen L. Gorin;Nash Borges
Affiliations:
Raytheon BBN Technologies, United States;U.S. Department of Defense, United States;Johns Hopkins University, United States
Venue:
Computer Speech and Language
Year:
2011

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Abstract

Abstract: We consider the problem of using speech processing to characterize an aggregate of voice data, in contrast to inferences about individual voice cuts. We derive simple turn-taking models from speaker activity detection output on the Switchboard-1 corpus. These can be used to cluster speakers into turn-taking 'styles.' Demographic fields and turn-taking behavior prove to be statistically dependent, thus observed speaker activity improves estimates of the demographics of held-out data. Finally, we use turn-taking style to estimate speaker influence.