%0 Journal Article
%T Nonlinear Statistical Matching for Subband Robust Speech Recognition<br>非线性统计匹配用于子带鲁棒语音识别
%A Sun Wei
%A Wu Zhen-yang
%A Liu Hai-bin
%A <br>孙 暐
%A 吴镇扬
%A 刘海滨
%J 电子与信息学报
%D 2006
%I 
%X The performance of the speech recognition systems is deteriorated dramatically under noise condition for variation of speech signal. According to the auditory tests, this paper proposes a new nonlinear sub-band Maximum A Posteriori (MAP)statistical matching algorithm based on the independent sub-band analysis. According to the perception of human's ear and noise feature of different frequency-bands, the algorithm compensates the effects of noise with statistical matching, MAP estimation and HMM/MLP nonlinear mapping. The test shows that the proposed algorithm improves the recognition performance notably under noise condition.
%K Speech recognition
%K Hidden Markov model
%K Maximum A Posteriori
%K Auditory scene analysis<br>语音识别
%K 隐马尔可夫模型
%K 最大后验估计
%K 听觉场景分析
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=32D42EAF0C6D3F32&yid=37904DC365DD7266&vid=D3E34374A0D77D7F&iid=38B194292C032A66&sid=03436AC72A659ACA&eid=D8B37A0210DB6B9D&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=1&reference_num=14