摘要
本文提出一种基于知识的汉语连续语音识别方法,它采用听觉感知模型参数对连续自然语音进行自动分段和特征提取,并在此基础上运用模糊集运算实现语音的识别。
This paper presents a method of knowledge-based recognition of continuous Chinese
speech.The auditory model parameter is used as characteristic parameter for acoustic segmentation and
recognition,and,at the recognition stage,fuzzy set operation is introduced in order to better recognize
the connected speech.
出处
《计算机研究与发展》
EI
CSCD
北大核心
1993年第6期44-48,16,共6页
Journal of Computer Research and Development
基金
江苏省教委自然科学基金资助项目
关键词
元音识别
基于知识
连续语音
auditory model
knowledge-based
continuous speech recognition
fuzzy set operation.
