计算机工程2011，Vol.37Issue(20)：208-210,3.DOI:10.3969/j.issn.1000-3428.2011.20.072
基于子字单元的维吾尔语语音识别研究
Research on Uyghur Speech Recognition Based on Subword Unit
摘要
Abstract
To improve on accuracy of Uyghur speech recognition, based on analysis of Uyghur characteristics, the framework of Uyghur speech recognition based on subword is developed for the first time. Pronunciation model of Uyghur word is given. How to build subword pronouncing dictionary, subword language model and acoustic model is described. Experiments are completed on a speech corpus and an unsupervised Uyghur word segmentation method is utilized to produce subwords. Experimental results show that Uyghur speech recognition based on subword can gain better recognition results.关键词
维吾尔语/词切分/子字单元/隐马尔科夫模型/连续语音识别Key words
Uyghur/ word segmentation/ subword unit/ Hidden Markov Model(HMM)/ continuous speech recognition分类
信息技术与安全科学引用本文复制引用
薛化建,董兴华,周喜,吐尔洪·吾司曼,李晓..基于子字单元的维吾尔语语音识别研究[J].计算机工程,2011,37(20):208-210,3.基金项目
中国科学院西部行动计划高新技术基金资助项目(KGCX2-YW-507) （KGCX2-YW-507）
