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基于关键词捕捉的中文语音网页浏览器

Chinese Spoken-Language Web Browser Based on Keyword-Spotting
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摘要 基于关键词捕捉技术的中文语音网页浏览器,除了提供传统网页浏览器的功能外,还提供了中文语音浏览的功能。语音网页浏览器综合运用了计算机网络、中文关键词捕捉、连续语音识别、端点检测、文本分析等技术,采用中文语音作为输入手段,在用户读出网页中包含的链接关键词后,对语音段进行关键词捕捉,根据结果连接到相应的网页,达到不用鼠标、只用“看和说”即可进行网页浏览的目的。采用关键词捕捉技术的语音网页浏览器具有操作简便、抗噪性能好、识别率高的特点。 Chinese spoken-language web browser is a multimodal web browser.It offers not only function of traditional web browser,which is mouse-based,but also navigating ability using Chinese spoken language as the input.It combines the techniques,such as computer networks,Chinese keyword spotting,Continuous speech recognition(CSR),and text analysis.User may use browser to'say and see'the web pages with hands free.Keyword spotting is the key technology used.Compared with the system based on continuous speech recognition,it has more convenient operation and better anti-noise performance.
作者 袁长海 李星
出处 《计算机工程与应用》 CSCD 北大核心 2003年第25期171-174,213,共5页 Computer Engineering and Applications
关键词 语音浏览器 语音识别 关键词捕捉 端点检测 Voice Browser,Speech Recognition,Keyword Spotting,Endpoint Detection
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参考文献6

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