Phonetic Query Expansion for Spoken Document Retrieval

被引：0
|
作者：
Mamou, Jonathan [1 ]
Ramabhadran, Bhuvana [2 ]
机构：
[1] IBM Haifa Res Labs, IL-31905 Haifa, Israel
[2] IBM TJ Watson Res Ctr, Yorktown Hts, NY 10598 USA
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：
We are interested in retrieving information from speech data using phonetic search. We show improvement by expanding the query phonetically using a joint maximum entropy N-gram model. The value of this approach is demonstrated on Broadcast News data from MIST 2006 Spoken Term Detection evaluation. Index Terms: spoken information retrieval, phonetic search, query expansion.
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收藏
页码：2106 / +
页数：2
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