计算机应用与软件2016，Vol.33Issue(10)：145-147,180,4.DOI:10.3969/j.issn.1000-386x.2016.10.032
一种低信噪比条件下的高可懂度的语音增强算法
A SPEECH ENHANCEMENT ALGORITHM WITH HIGH INTELLIGIBILITY UNDER LOW SNR CONDITION
摘要
Abstract
Research shows that compared with pure speech,there will be two types of distortion in enhanced speech:the amplifier distortion and the attenuation distortion,and the amplifier distortion has a bigger influence on the speech intelligibility.Most of traditional speech enhancement algorithms cannot effectively improve the intelligibility after the speech being enhanced,because they only use the minimum mean square error method to limit these two kinds of distortions for suppressing noise and improving the quality of the speech,but neglect the different distortions having different effects on intelligibility.This paper proposes a subspace-based speech enhancement algorithm which can improve the intelligibility,it uses priori signal-to-noise ratio (SNR)and gain matrix to judge the type of speech distortion.At the same time,it is noticed that when estimating the priori SNR,there is the estimation error:overestimation and underestimation.The overestimation will produce amplifier distortion,and has a big influence on the intelligibility.We first correct the gain matrix of the overestimated priori SNR (less than -10 dB),and then make different restrictions on the speeches with amplitude spectrum distortion greater than 0 dB and 6.02 dB separately.Experimental results show that the proposed algorithm can effectively enhance the intelligibility of the speech.关键词
子空间/语音可懂度/语音畸变/先验信噪比/增益矩阵Key words
Subspace/Speech intelligibility/Speech distortion/Priori SNR/Gain matrix分类
信息技术与安全科学引用本文复制引用
孟欣,马建芬,张雪英..一种低信噪比条件下的高可懂度的语音增强算法[J].计算机应用与软件,2016,33(10):145-147,180,4.基金项目
国家自然科学基金项目（61371193）。 （）
