Comparing word, character, and phoneme n-grams for subjective utterance recognition

被引：0

作者：

Wilson, Theresa ^{[1
]}

Raaijmakers, Stephan ^{[2
]}

机构：

[1] Univ Edinburgh, Sch Informat, Edinburgh, Midlothian, Scotland

[2] TNO Informat & Commun Technol, Delft, Netherlands

来源：

INTERSPEECH 2008: 9TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2008, VOLS 1-5 | 2008年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we compare the performance of classifiers trained using word n-grams, character n-grams, and phoneme n-grams for recognizing subjective utterances in multiparty conversation. We show that there is value in using very shallow linguistic representations, such as character n-grams, for recognizing subjective utterances, in particular, gains in the recall of subjective utterances.

引用

页码：1614 / +

页数：2

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