%0 Journal Article
%T Application of on-line filler modeling in specific domain speech recognition system<br>在线废料建模在特定领域语音识别中的应用
%A XING Lu-lu
%A XIE Sha-sha
%A SUN Jia-song
%A WANG Zuo-ying
%A <br>幸璐璐
%A 谢莎莎
%A 孙甲松
%A 王作英
%J 计算机应用
%D 2005
%I 
%X It is difficult for a speech recognition system in specific domain to deal with parentheses or sentence particles which is not depicted in rule since it instructs acoustic layer recognition in strict syntax rules model.To solve this problem,an on-line filler modeling method based on wordgraph decoder was applied to specific domain speech recognition system.The choice of the parameter N in this method was discussed in detail,and the correlation between materials' SNR and the parameter N was also analyzed and validated.Moreover,a model parameter optimization method,which benefits from the correlation,was proposed.Computer simulation validates that the proposed method increases recognition rate by 18.34% for sentence and 11.47% for slot relatively.
%K speech recognition
%K filler
%K on-line filler modeling
%K wordgraph decoder<br>语音识别
%K 废料
%K 在线废料建模
%K 词图搜索
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=B661176187A6ECB5&yid=2DD7160C83D0ACED&vid=C5154311167311FE&iid=59906B3B2830C2C5&sid=1A96AF0E8E0B43F9&eid=F6A99D9F559BABD3&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=5