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基于噪声整形的语音去噪算法
引用本文:浦小祥,董恩清.基于噪声整形的语音去噪算法[J].通信技术,2008,41(12).
作者姓名:浦小祥  董恩清
作者单位:山东大学,威海分校信息工程学院,山东,威海,264209
基金项目:国家自然科学基金  
摘    要:针对非平稳环境噪声提出一种基于噪声整形的语音去噪算法.该算法以最小感知均方误差为准则,在Wiener滤波的基础上,采用听觉感知加权函数修正Wiener滤波方程,实现对噪声谱整形,使噪声谱分布特性跟随语音谱而变:同时引入频率补偿因子克服非平稳噪声谱对语音影响的不均匀性;采用快速噪声估计算法实现对非平稳的估计.实验表明,该算法能更有效地抑制背景噪声,提高了去噪后的语音质量.

关 键 词:噪声估计  非平稳信号  语音去噪  感知加权滤波器  噪声整形

Speech Denoising Based on Noise Reshaping
PU Xiao-Xiang,DONG En-qing.Speech Denoising Based on Noise Reshaping[J].Communications Technology,2008,41(12).
Authors:PU Xiao-Xiang  DONG En-qing
Affiliation:PU Xiao-xiang,DONG En-qing (School of Information Engineering,Sh,ong University at Weihai,Wenhai Sh,ong 264209,China)
Abstract:In this paper,a new speech denoising algorithm based on noise reshaping is proposed for non-stationary environments.The perceptual weighting function is adopted to modify the traditional Wiener filter equation via reshaping the noise spectrum based on the minimum perceptual mean square error criteria.The noise spectrum can be redistributed according to the real speech.The frequency compensation factor is introduced to compensate the ununiformity resulted from the influence of non-stationary noise on the spe...
Keywords:Noise estimatien  Non-stationary signal  Speech denoising  Perceptual weighting filter  Noise reshaping  
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