%0 Journal Article
%T Optimizing Speech Enhancement Based on Noise Masked Probability<br>基于噪声被掩蔽概率的优化语音增强方法
%A BuFan-liang
%A Wang Wei-min
%A Dai Qi-jun
%A Chen Yan-pu
%A <br>卜凡亮
%A 王为民
%A 戴启军
%A 陈砚圃
%J 电子与信息学报
%D 2005
%I 
%X An optimal approach for enhancing a speech signal degraded by uncorrelated stationary additive noise, which exploits auditory perception properties, is proposed. The speech spectra estimate is performed in two cases: noisy speech spectra for noise masked and classical estimate for noise unmasked. Taking account into the uncertainty of the noise presence, the enhanced speech signal spectra are obtained by a weighted sum of these two estimates, where the weights are given by the noise masked probability. The performance of the proposed speech enhancement approach has been evaluated with speech distortion and informal listening tests. Comparing with Azirani's method and classical estimator, results show that a better compromise between reducing speech distortion and reinforcing noise suppression has been made, speech distortion has been decreased apparently, musical noise has been suppressed and speech articulation has been improved.
%K Speech enhancement
%K Auditory masking effects
%K Speech articulation
%K Musical noise<br>语音增强
%K 听觉掩蔽效应
%K 语音清晰度
%K 音乐噪声
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=77F231808AF9C30B&yid=2DD7160C83D0ACED&vid=DB817633AA4F79B9&iid=94C357A881DFC066&sid=04CF423CEE45E258&eid=895BB10EB8F3BD49&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=7&reference_num=11