%0 Journal Article
%T Automatic Corpus Selecting Algorithm Based on Triphone Models<br>基于三音子模型的语料自动选择算法
%A WU Hua
%A XU Bo
%A HUANG Tai-yi
%A <br>吴华
%A 徐波
%A 黄泰翼
%J 软件学报
%D 2000
%I 
%X In speech recognition,the selection of training corpus for robust acoustic modeling which can cover almost all phone phenomena is very important.Traditionally,corpus is selected manually first,and then tested and supplemented,which can't provide sufficient coverage of samples for various statistical modeling methods.An algorithm for automatically selecting the training samples from large-scale text corpus is developed in this paper.This algorithm can not only cover almost all phone phenomena but also ensure to include ideal samples of triphones or class-triphones and ensure enough data for training,which makes it possible to train acoustic model reliably.
%K Speech recognition
%K model training
%K triphone
%K class-triphone<br>语音识别
%K 模型训练
%K 三音子
%K 类三音子.
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=7735F413D429542E610B3D6AC0D5EC59&aid=08BA9D5BAE2B05BC&yid=9806D0D4EAA9BED3&vid=708DD6B15D2464E8&iid=0B39A22176CE99FB&sid=273ADA1BCEFE8C00&eid=44A4891E33BFF455&journal_id=1000-9825&journal_name=软件学报&referenced_num=7&reference_num=4