UNSUPERVISED BROADCAST CONVERSATION SPEAKER ROLE LABELING

被引：12

作者：

Hutchinson, Brian ^{[1
]}

Zhang, Bin ^{[1
]}

Ostendorf, Mari ^{[1
]}

机构：

[1] Univ Washington, Dept Elect Engn, Seattle, WA 98195 USA

来源：

2010 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING | 2010年

关键词：

Unsupervised learning; meta-clustering; speaker role classification; broadcast conversations;

D O I：

10.1109/ICASSP.2010.5494958

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

We present an approach to unsupervised speaker role labeling in talk show data that makes use of two complementary sets of features: structural features that encode the participation patterns of speakers, and lexical features, which capture characteristic phrases. Techniques for using multiple clusterings are explored, leading to more robust results. Experiments on English and Mandarin talk shows yield performance similar to that reported for broadcast news using supervised learning.

引用

页码：5322 / 5325

页数：4

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