Development of Speech Understanding System Using Artificial Intelligence Techniques

利用人工智能技术开发语音理解系统

• 批准号: 03044172
• 负责人: MIZOGUCHI Riichiro
• 金额: --
• 依托单位: Osaka University
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Overseas Scientific Survey.
• 财政年份: 1991
• 资助国家: 日本
• 起止时间: 1991 至 无数据
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-03044172/
• 关键词: Speech recognition; Speech understanding; Language processing; Korean speech recognition; Expert system; 音声対話

The objectives of this research include to build a continuous speech recognition system for Korean speech as well as performing fundamental research for knowledge-based techniques and its applications to speech understanding system. Understanding of continuous speech is generally a tough problem, since acoustic information is unreliable. This requires us to employ not only acoustic information but also linguistic one to disambiguate the acoustic processing. In this international research with a Korean researcher, we discussed the common issues frequently and obtained the possibility of the application of our speech recognition expert system named SPREX to Korean speech recognition. The following are the summary of the research results obtained this year.1) We investigated the characteristics of Korean speech and found several differences : It has about two-times more vowels including semi-vowels and many nasals. So, we extended the mechanism and the knowledge of the SPREX to enable it applicable to Korean speech recognition. Furthermore, we found the front end module in SPREX responsible for describing the trajectory of feature parameters should re-program in order to cope with Korean speech description.2) For preparation to the speech understanding system building, we also investigated the characteristics of Korea language to know the difference between Japanese and it. Based on the investigation, we found no serious difference in designing the language processing subsystem for the speech understanding system, that is, the system we currently develop for Japanese language is applicable to Korean in principle.3) Speech data base plays an important role in speech research, especially in our research on different languages. Although it is just in the elementary stage, we began the investigation of the structure of speech data base for Korean spoken language as well as Japanese.

本研究的目标包括建立一个连续的韩语语音识别系统，以及进行基于知识的技术及其应用于语音理解系统的基础研究。由于声学信息的不可靠性，连续语音的理解通常是一个坚韧的问题。这就要求我们不仅要利用声学信息，而且要利用语言信息来消除声学处理中的歧义。在与韩国研究人员的国际研究中，我们经常讨论共同的问题，并获得了我们的语音识别专家系统SPREX应用于韩语语音识别的可能性。以下是本年度的研究成果摘要。1）我们调查了韩国语的语音特征，发现了几个不同之处：它有大约两倍多的元音，包括半元音和许多鼻音。因此，我们扩展了SPREX的机制和知识，使其适用于韩语语音识别。此外，我们还发现SPREX中负责描述特征参数轨迹的前端模块需要重新编程，以科普韩语语音识别。2）为了给构建语音理解系统做准备，我们还调查了韩语的特点，了解了韩语与日语的区别。我们发现，在设计语音理解系统的语言处理子系统时，我们没有发现严重的差异，即我们目前为日语开发的系统原则上适用于韩语。3）语音数据库在语音研究中起着重要作用，特别是在我们对不同语言的研究中。虽然还处于初级阶段，但我们已经开始了对韩语和日语的语音数据库结构的研究。

项目成果

山下 洋一: "対話管理における次発話の予測に関して" 電子情報通信学会第二種研究会資料. SPREC91ー1. 63-66 (1991)

Yoichi Yamashita：“预测对话管理中的下一个话语”IEICE Type 2 研究组材料。 ​​63-66 (1991)。

Yoichi Yamashita: "On Utterance Prediction in Dialog Management Systems" IEICE Tech. Rep.SPREC91-1. 63-66 (1992)

Yoichi Yamashita：“对话管理系统中的话语预测”IEICE Tech。

Akihiro Nakamura: "Speech Understanding System with an Association Mechanism -Classification and Utilization of Association" IEICE Tech. Rep.SP91-111. 25-32 (1992)

Akihiro Nakamura：“具有关联机制的语音理解系统 - 关联的分类和利用”IEICE Tech。

Shingo Nishioka: "A Framework for Disambiguation of Input Words for Speech Understanding system" IEICE Tech. Rep.SPREC91-2. 5-6 (1992)

Shingo Nishioka：“语音理解系统输入词歧义消除框架”IEICE Tech。