Japanese Personal Name and Location Search for Spoken Utterances by Using Hierarchical Language Model of Speech Recognition

被引：0
|
作者：
Hu, Xinhui [1 ]
Wu, Youzheng [1 ]
Kashioka, Hideki [1 ]
机构：
[1] Natl Inst Informat & Commun Technol, Seika, Kyoto 6190228, Japan
来源：
RECENT ADVANCES OF ASIAN LANGUAGE PROCESSING TECHNOLOGIES | 2008年
关键词：
spoken document retrieval; OOV; hierarchical language model; confusion network;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
We propose a new scheme for searching Japanese personal and location names, the two main sources of out-of-vocabulary (OOV) words, in spoken documents. We use a hierarchical language model for recognition and indexing, which is composed of two independently trained layers. Retrieval experiments performed using a Japanese spontaneous speech corpus reveal that the retrieval performance for OOV words is significantly improved, while that for in-vocabulary (IV) words is not greatly influenced. Further, the retrieval performance of using confusion network is better than the 1-best of recognition results, particularly for OOV words.
引用
收藏
页码：193 / 198
页数：6
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