%0 Journal Article
%T Clustering Segmentation of Chinese Speech<br>汉语语音的聚类分段研究
%A Zong Yuanzhang
%A Wang Renhua
%A <br>宋原章
%A 王仁华
%J 自动化学报
%D 1989
%I 
%X This paper proposes a novel clustering segmentation algorithm. Based on the criterion of the minimization of average dispersion within segments and the maximization of average dispersion between segments, the optimum speech segmentation has been approached by this clustering method. Compared with former classical methods, this algorithm has improved the performance in the phoneme segmentation of Chinese syllables significantly.The statistical results of some preliminary experiments for isolated Chinese words are reported, which can be used as reference in the phonemes recognition of Chinese speech.
%K Phonem recognition
%K dispersion
%K clustering segmentation<br>音素识别
%K 聚类分段
%K 语音识别
%K 汉语
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=E76622685B64B2AA896A7F777B64EB3A&aid=F1FD98C10318892839D99EC5B50E5210&yid=1833A6AA51F779C1&vid=23CCDDCD68FFCC2F&iid=94C357A881DFC066&sid=788931E6318420A3&eid=4D4C81DBA842B7BD&journal_id=0254-4156&journal_name=自动化学报&referenced_num=0&reference_num=1