计算机应用与软件Issue(11)：155-157,3.DOI:10.3969/j.issn.1000-386x.2014.11.038
具有高可懂度的改进的维纳滤波的语音增强算法
AN IMPROVED WIENER FILTERING SPEECH ENHANCEMENT ALGORITHM WITH HIGH INTELLIGIBILITY
摘要
Abstract
We propose a Wiener filtering-based speech enhancement algorithm with higher intelligibility.Compared with other speech en-hancement algorithms, the Wiener filtering can significantly improve the quality of speech but contains less musical noise, however the same as them, it is unable to effectively improve speech intelligibility either.It is because that the Wiener filtering and other existing algorithms pay too more attention to noise reduction while ignoring that the SNR ( signal-to-noise ratio) estimation errors and the different speech magnitude spectrum distortions have a greater influence on speech intelligibility.In order to make up these shortages, in our study we determine the SNR estimation errors and the speech distortions area relying on priori SNR and gain function, and then modify the gain functions in the areas where the priori SNR is less than -10 dB, and constrain the speech in the areas where the distortion of amplification spectrum is beyond 6.02 dB.Experimental result demonstrates that this algorithm can effectively promote the evaluation value of the enhanced speech intelligibili-ty NCM ( normalised covariance metric) .关键词
维纳滤波/先验SNR/语音可懂度/语音畸变Key words
Wiener filtering/Priori SNR/Speech intelligibility/Speech distortion分类
信息技术与安全科学引用本文复制引用
郭利华,马建芬..具有高可懂度的改进的维纳滤波的语音增强算法[J].计算机应用与软件,2014,(11):155-157,3.基金项目
山西省留学归国人员科研项目（2011－027）；山西省留学人员科技活动择优项目（2011－762）。 （）
