%0 Journal Article %T A Modified a Priori SNR Estimator Based on the United Speech Presence Probabilities
基于联合语音出现概率的先验信噪比估计算法 %A Zheng Cheng-shi %A Zhou Yin %A Li Xiao-dong %A
郑成诗 %A 周崟 %A 李晓东 %J 电子与信息学报 %D 2008 %I %X The a priori Signal-to-Noise Ratio (SNR) is the dominant parameter in noise reduction techniques. This paper analyses several typical estimate approaches of the a priori SNR firstly, and then expresses them in the same form, finally presents an improved estimate of the a priori SNR, which is based on the united speech presence probabilities. Simulation results verify that the performance of the proposed estimator is better than those conventional estimators in terms of the segmental SNR and the log-spectral distance. %K Speech enhancement %K A priori SNR %K A posteriori SNR
语音增强 %K 先验信噪比 %K 后验信噪比 %K 合语 %K 出现概率 %K 信噪比估计算法 %K Presence %K Speech %K Based %K Estimator %K 评价指标 %K 距离 %K 数谱 %K 和平 %K 音乐噪声 %K 测试结果 %K 语音增强 %K 先验信噪比 %U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=4EAF675EAFFF31A83CAE58ED5C385809&yid=67289AFF6305E306&vid=340AC2BF8E7AB4FD&iid=DF92D298D3FF1E6E&sid=BCF7BCA77FA8F9BA&eid=E652F68A3FDC0E89&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=1&reference_num=9