A Context-Aware Language Model for Spoken Query Retrieval

被引：0

作者：

Zhong, Yapin ^{[1
]}

Gilbert, Juan E. ^{[1
]}

机构：

[1] Auburn Univ, Dept Comp Sci & Software Engn, 107 Dunstan Hall, Auburn, AL 36849 USA

来源：

INTERNATIONAL JOURNAL OF SPEECH TECHNOLOGY | 2005年 / 8卷 / 02期

关键词：

spoken query retrieval; language models; automatic speech recognition; speech user interfaces;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper concentrates on the problem of designing and developing a spoken query retrieval (SQR) system to access large document databases via voice. The main challenge is to identify and address issues related to the adaptation and scalability of integrating automatic speech recognition (ASR) and information retrieval (IR). In this paper, a Context Aware Language Model (CALM) framework allowing information retrieval to large document databases via voice is presented and findings from a research study using the framework will be discussed as well.

引用

页码：203 / 219

页数：17

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