计算机应用研究2013，Vol.30Issue(1)：114-116,137,4.DOI:10.3969/j.issn.1001-3695.2013.01.027
一种新阈值函数的小波包语音增强算法
New threshold function of wavelet packet speech enhancement algorithm
摘要
Abstract
Aiming at enhanced speech by using the traditional soft and hard threshold functions methods had the problem of distortion, this paper proposed a new threshold function of wavelet packet speech enhancement algorithm, and put forward the new threshold function and the new Bark scale wavelet packet decomposition structure. The new threshold function flexibly combined the soft and hard threshold functions when wavelet packet coefficients were greater than the given threshold. When wavelet packet coefficients were less than the given threshold, it used a nonlinear function to instead of setting wavelet packet coefficients to zero simply in the traditional threshold function, and it achieved the smooth transition of the threshold function. The new 60 sub-bands Bark scale wavelet packet decomposition structure could achieve better simulation of the human ear auditory perception characteristics. Simulation experimental results show that comparing with traditional threshold function methods , the new proposed algorithm improves the SNR and SSNR of the enhanced speech significantly and reduces the speech distortion in white Gaussian noise and colored noise background, and has better denoising effect.关键词
语音增强/小波包/阈值函数/Bark尺度小波包分解结构/信噪比/分段信噪比Key words
speech enhancement/ wavelet packet/ threshold function/ Bark scale wavelet packet decomposition structure/ signal-to-noise ratio (SNR)/ segmental signal-to-noise ratio (SSNR)分类
信息技术与安全科学引用本文复制引用
任永梅,张雪英,贾海蓉..一种新阈值函数的小波包语音增强算法[J].计算机应用研究,2013,30(1):114-116,137,4.基金项目
国家自然科学基金资助项目(61072087) （61072087）
山西省留学回国人员科研资助项目(2011-035) （2011-035）
