Social correlates of turn-taking style

被引：5
|
作者：
Grothendieck, John [1 ]
Gorin, Allen L. [1 ]
Borges, Nash [1 ]
机构：
[1] Johns Hopkins Univ, Baltimore, MD 21218 USA
来源：
COMPUTER SPEECH AND LANGUAGE | 2011年 / 25卷 / 04期
关键词：
Speech activity detection; Turn-taking behavior; SPEECH; MODEL;
D O I：
10.1016/j.csl.2011.01.002
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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. (C) 2011 Elsevier Ltd. All rights reserved.
引用
收藏
页码：789 / 801
页数：13
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