%0 Journal Article
%T Merging-based Syllable Detection Automaton in Continuous Chinese Speech Recognition<br>连续汉语语音识别中基于归并的音节切分自动机
%A ZHANG Ji-yong
%A ZHENG Fang
%A DU Shu
%A SONG Zhan-jiang
%A XU Ming-xing
%A <br>张继勇
%A 郑方
%A 杜术
%A 宋战江
%A 徐明星
%J 软件学报
%D 1999
%I 
%X In this paper, an automatic syllable detection method namely merging-based syllable detection automaton (MBSDA) is studied and implemented. The MBSDA uses a variety of features including the frame energy, the zero crossing rate and the fundamental frequency to merge similar consecutive frames (one or several frames) into one merged similar segment (MSS). The frames in the same MSS are treated as frames of the same state of a phonetic. These MSSs are passed into a syllable detection automaton (SDA) to give the syllable detection results. In addition, the MBSDA gives the range of syllable number (RNS) of each definite detection segment.
%K Syllable detection
%K merging
%K syllable detection automaton
%K vowel feature segment
%K range of syllable number<br>音节切分
%K 归并
%K 音节切分自动机、韵母特征类段
%K 音节个数范围
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=7735F413D429542E610B3D6AC0D5EC59&aid=830A86C4D7A708316B26A3116C226EFA&yid=B914830F5B1D1078&vid=F3090AE9B60B7ED1&iid=708DD6B15D2464E8&sid=E477FFDBDE309A4B&eid=B7C3373069B7AC9F&journal_id=1000-9825&journal_name=软件学报&referenced_num=3&reference_num=8