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

页码：789 / 801

页数：13

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