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面向语音聊天机器人的人机口语对话技术研究
Alternative TitleResearch on Man-machine Interactive Technique of Spoken Chat Robot
高倩倩
Subtype工学硕士
Thesis Advisor李成荣
2006-06-13
Degree Grantor中国科学院研究生院
Place of Conferral中国科学院自动化研究所
Degree Discipline控制理论与控制工程
Keyword语音聊天系统 常问问题集 句子相似度 语音识别 Spoken Dialogue System Faq Sentence Similarity Speech Recognition
Abstract人机口语对话系统是基于语音的人机接口。近些年来,口语对话系统的研究成为一个热点,很多家机构投入其中,推出的系统多达上百个。不过这些对话系统大多是基于限定任务的,例如旅游信息查询、天气预报信息查询等等。 本文的研究对象是一个面向儿童的语音聊天系统,用户在简单的日常对话范围内,通过自然语音与系统交互,语音聊天系统给出逼近真人的语音回答。它不同于目前常见的基于特定任务的对话系统,人机交互的目的不是得到某些有用信息,而是突出交互过程的娱乐性和趣味性。 本文的研究内容包括设计人机交互内容、分析语音识别结果,给出应答语句,并且适时的主导聊天进程,引导用户的聊天范围进入系统可以处理的范围之内等等。可以概括为以下几点: 1, 建立了基于关键词组合的应用于语音聊天的问答系统,并在分析大量对话语料的基础上确定了常问问题集(FAQ);针对每个问题编写多个应答语句,将问题-答案对按照对应规则的方式储存; 2, 提出了三种扩展FAQ库的方法:按照词类扩展、按照句型扩展和在实际使用中扩展; 3, 考虑到口语对话的特点,以及语音识别模块的影响,提出了一种遵循“向后”原则、“偏多”原则和“紧凑”原则的相似度计算方法; 4, 结合问答系统的特点,设计并实现了一些提高系统整体性能和智能水平的方法。
Other AbstractIn recent years, much research work on spoken dialogue systems has been done all over the world. Hundreds of spoken dialogue systems have been provided by many organizations. However, most of these systems are based on limitative tasks, such as querying for travel information or weather forecast information. This paper presents our research on a spoken dialogue system that is different from those systems based on limitative tasks. This system is provided mostly for entertainment rather than getting useful information. Our research work includes designing man-machine interactive content, analyzing speech recognition result, offering answers, and also properly leading the conversation process in order to make the topic not overstep the range the system can analyze. All the work can be summarized as follows: 1. Establish a question-answering system for chatting by speech, which is based on combination of keywords. We analyze lots of dialogue corpus to design FAQ, and also, design more than one answers for each question and memorize each question and its answers in a rule; 2. Propose three ways of extending FAQ; 3. Propose a method of computing sentence similarity, which takes account of the characteristics of spoken language and the influence of speech recognition module; 4. Provide some valid methods to achieve better system performance and show higher-level intelligence.
shelfnumXWLW1017
Other Identifier200328014604124
Language中文
Document Type学位论文
Identifierhttp://ir.ia.ac.cn/handle/173211/7389
Collection毕业生_硕士学位论文
Recommended Citation
GB/T 7714
高倩倩. 面向语音聊天机器人的人机口语对话技术研究[D]. 中国科学院自动化研究所. 中国科学院研究生院,2006.
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