摘要
论文介绍一套应用于博物馆熊猫模型的口语对话系统。该系统利用大词汇量非特定人连续语音识别技术与口语对话模型实现了智能熊猫系统的人机知识问答。系统采用统计的正则语言模型和机器主导的口语对话策略提高系统的识别速度和识别率。由于采用基于子词的声学模型,系统的识别词表易于增加,不受限制。该系统自2001年7月起在北京自然博物馆正式运行,系统对环境噪声以及带有不同方言口音的普通话都表现出良好的稳健性。在实际环境下的测试表明系统语音识别率达到99.07%。
In this paper the a uthors present a dialogue system applying to a model panda in a museum.Human-ma-chine interlocution of Smartpanda System is implemented by means of speaker independent continuous speech recogni-tion technology and dialogue model.They adopt the statistical regular language model combined with machine leading dia logue strategy to improve the recognition velocity and the accuracy rate.The wo rds table is unlimited and easy to expand because of the acoustic model based on sub-word.This system has been put into use in Beijing Natural History Museum since July,2001and exhibits reliable robustness against the environmental noise and nonstandard mandarin with accent.Tests in real environment show that the recognition accuracy rate reaches99.07%.
出处
《计算机工程与应用》
CSCD
北大核心
2003年第2期61-62,74,共3页
Computer Engineering and Applications
基金
国家自然科学基金(编号:69975007)
国家863高技术研究发展计划项目(合同号:863-306ZD13-04-6与863-512-9805-10)