| 面向语音识别错误恢复的澄清式人机对话系统 |
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| 引用本文： | 于东,贾磊,徐波.面向语音识别错误恢复的澄清式人机对话系统[J].清华大学学报(自然科学版),2011(9). |
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| 作者姓名： | 于东 贾磊 徐波 |
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| 作者单位： | 北京语言大学汉语国际教育技术研发中心;中国科学院自动化研究所模式识别国家重点实验室; |
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| 基金项目： | 国家自然科学基金资助项目(90820303,60973062/F020605) |
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| 摘 要： | 在人机交互系统中,自动语音识别(ASR)错误将导致交互障碍,通过发起澄清式人机对话可以实现ASR错误恢复。该文提出澄清式人机对话系统结构,用于实现语音识别错误恢复,实现了系统的4个组成部分:ASR错误检测、基于统计机器翻译(SMT)方法的澄清式疑问句生成模型、说话人响应分析、基于有限状态机(FSM)的对话管理模型。各模块均采用与特定任务无关的方法建立。实验结果表明:澄清式人机对话系统可以有效模拟口语中的澄清现象,在不同的错误环境中能够较好的实现ASR错误恢复任务。
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| 关 键 词： | 澄清式人机对话系统 语音识别错误恢复 澄清式疑问句 对话管理 |
Human-machine dialogue clarification system for speech recognition error recovery |
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| YU Dong,JIA Lei,XU Bo.Human-machine dialogue clarification system for speech recognition error recovery[J].Journal of Tsinghua University(Science and Technology),2011(9). |
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| Authors: | YU Dong JIA Lei XU Bo |
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| Institution: | YU Dong1,JIA Lei2,XU Bo2(1.International R&D Center for Chinese Education,Beijing Language and Culture University,Beijing 100083,China,2.Digital Content Technology Research Centre,Institute of Automation,Chinese Academy of Science,Beijing 100190,China) |
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| Abstract: | Incorrect automatic speech recognition(ASR) result hinder interactions in human-machine systems.This problem can be solved by clarifying the dialogue for ASR error recovery.This paper presents a human-machine dialogue clarification system that includes ASR error detection,clarification question generation based on statistical machine translation(SMT),user response analysis,and dialogue clarification management based on a finite state machine(FSM).All metrics are not task specific.Tests show that the system ... |
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| Keywords: | human-machine clarification dialogue system speech recognition error recovery clarification question dialogue management |
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