摘要
探讨了基于语义搜索的语音识别,比较了文本搜索和语义搜索的差别,并构建了分布式语义模型,建立了基于语义搜索的语音识别本体库,研究说明基于语义搜索的语音识别具有很大的理论价值和实际作用。
In this paper the speech recognition based on semantic search was discussed, and the difference between text search and semantic search was introduced. The distributed speech recognition model was constructed. The ontology of speech recognition based on semantic search was established. This research shows that speech recognition based on semantic search is of great theoretical value and practical application.
出处
《计算机应用》
CSCD
北大核心
2009年第7期1978-1980,1999,共4页
journal of Computer Applications
关键词
隐性马尔科夫模型
语义搜索
本体库
语音识别
Hidden Markov Model （HMM） model
semantic search
ontology
speech recognition
