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Study for Spontaneous Spoken Dialogue Understanding System

自发口语对话理解系统的研究

基本信息

批准号：
09480059
负责人：
ICHIKAWA Akira
金额：
$ 7.87万
依托单位：
CHIBA UNIVERSITY
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (B).
财政年份：
1997
资助国家：
日本
起止时间：
1997 至 2000
项目状态：
已结题

项目摘要

In a spontaneous spoken dialogue understanding system, real-time response and robustness to the environment are required.To realize these requirements, we propose a multi-agent system as the system architecture. Each agent has its own function, e.g.phoneme recognition, input utterance structure reasoning from prosody, input utterance forecasting, word reasoning, parsing, etc. The output of this system is the result of co-operation of individual agents that adjust their own behavior to the environment or the input data independency. We propose the co-operation processes.A reinforcement learning method is proposed for a phoneme recognition agent as a sample agent, and adopted a continuous dynamic programming technique to deal with continuous phoneme recognition. To clarify the fundamental characteristics of the proposed method, we define some simple quasi conditions for the experiments, and confirm favorable results.The prosodic structure of the input utterance is represented as a tree form and constructed using FO, duration and pause information of each phrase of the utterance. The tree structure shows how strong successive phrases are concerned with each other.The forecasting the next input utterance uses the handling of two status transfer tables ; controlling for the dialogue in progress and for the dialogue in future.The system can be expected to achieve high adaptability to the environment(e.g., variation of speakers and tasks)and robustness. Some application systems(e.g.WWW voice browser)ware developed.

In a spontaneous spoken dialogue understanding system, real-time response and robustness to the environment are required.To realize these requirements, we propose a multi-agent system as the system architecture. Each agent has its own function, e.g.phoneme recognition, input utterance structure reasoning from prosody, input utterance forecasting, word reasoning, parsing, etc. The output of this system is the result of co-operation of individual agents that adjust their own behavior to the environment or the input data independency. We propose the co-operation processes.A reinforcement learning method is proposed for a phoneme recognition agent as a sample agent, and adopted a continuous dynamic programming technique to deal with continuous phoneme recognition. To clarify the fundamental characteristics of the proposed method, we define some simple quasi conditions for the experiments, and confirm favorable results.The prosodic structure of the input utterance is represented as a tree form and constructed using FO, duration and pause information of each phrase of the utterance. The tree structure shows how strong successive phrases are concerned with each other.The forecasting the next input utterance uses the handling of two status transfer tables ; controlling for the dialogue in progress and for the dialogue in future.The system can be expected to achieve high adaptability to the environment(e.g., variation of speakers and tasks)and robustness.开发了一些应用系统（如WWW语音浏览器）软件。