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WEB语音检索中查询概念纠错的研究
引用本文:沈玺,王永成. WEB语音检索中查询概念纠错的研究[J]. 计算机仿真, 2006, 23(2): 222-226
作者姓名:沈玺  王永成
作者单位:上海交通大学计算机科学与工程系,上海,200030;上海交通大学计算机科学与工程系,上海,200030
摘    要:使用语音识别技术为搜索引擎提供语音查询接口,使得奇询概念的输入更为简便。但是,由于查询概念中存在大量的专有名词和名称,识别精度往往不高,影响搜索结果的准确率。该文提出一种在新闻领域内,利用新闻领域知识提高查询概念识别率的方法,通过计算语音识别结果与新闻概念库中概念的语音相似度确定备选结果,计算备选结果与辅助概念的新闻相关度来确定最终的查询概念。实验证明,该方法对新闻搜索引擎的查询概念的纠错收到了良好的效果。

关 键 词:语音识别  语音检索  相关度
文章编号:1006-9348(2006)02-0222-05
收稿时间:2004-08-17
修稿时间:2004-08-17

Correction of Query Conception in Web Search with Speech
SHEN Xi,WANG Yong-cheng. Correction of Query Conception in Web Search with Speech[J]. Computer Simulation, 2006, 23(2): 222-226
Authors:SHEN Xi  WANG Yong-cheng
Affiliation:Department of Computer Science and Engineering, SJTU, Shanghai 200030, China
Abstract:It makes inputting query concepts more convenient by providing oral query interface with the help of speech recognition technology. However, accuracy of recognition is low since lots of proper nouns and expressions exist in query concepts. This paper shows a method for improving the accuracy of recognition in news field by using context knowledge of news. It confirms the recognition result by calculating news similarity between assistant concepts and backup results, which are gained by calculating pinyin similarity between recognition and concepts in conception database. Experiment shows that it acquires more accurate results in web news search application.
Keywords:Speech recognition    Oral web search    Similarity
本文献已被 CNKI 维普 万方数据 等数据库收录!
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