摘要
研究了单话筒采集条件下基于语音短时对数谱的最小均方误差(MMSE-LSA)估计的语音增强算法,给出了其算法分析的基本流程图。由于语音是时变的,因此,假设语音频谱分布为高斯分布,在此基础上讨论了MMSE-LSA算法的先验信噪比ξk的2种估计方法——最大似然估计方法和直接判决估计方法。试验证明此方法的语音增强效果较好,尤其在较低信噪比时效果更明显。
In this paper,the authors study the speech enhancement algorithm based on minimun mean square error short time log spectral amplitude estimation(MMSE-LSA) under the single input condition,and present the basic flowchart of the algorithm analysis.Because the speech is non-stationary,and supposing the speech spectrum is the distribution of Gaussian,the authors discuss the estimation method of the parameter-priori SNR(signal-to-noise ratio)-maximum likelihood estimation approach and decision-directed estimation approach.Experiments show that the performance of the algorithm enhances the speech very well, especially in the conditions of low SNR.
出处
《重庆邮电学院学报（自然科学版）》
2004年第3期65-68,共4页
Journal of Chongqing University of Posts and Telecommunications(Natural Sciences Edition)
关键词
语音增强
短时对数谱
最小均方误差
speech enhancement
short-time log-spectral
minimun mean square error
