帧间约束MMSE语音增强算法

本文主要讨论基于语音短时谱估计的语音增强算法，在语音短时谱幅度最小均主误差估计（ＭＭＳＥ）的基础上，本文提出了一种基于帧间频域分布约束的改进的语音短时谱幅度ＭＭＳＥ估计算法，该算法充分利用了语音分析帧之间存在的相关性，并以频域分布约束的形式结合到估计式中，考虑到在ＭＭＳＥ估计式中需要利用语音频谱的分布，本文采取了两种解决办法，利用高斯分布模型进行近似；利用语音材料进行统计得到近似的分布模型，新算法

Speech Enhancement Algorithms Using MMSE Estimation with Interframe Constraints

This paper mainly discusses the speech enhancement algorithm based on the Minimum Mean Square Error(MMSE) estimation of speech short time spectrum. On the basis of the general MMSE estimation, a new algorithm using interframe frequency domain distribution constraint in MMSE estimation is proposed,if takes into account the correlations between interframe spectrum and incorporates them into the estimation.Due to the fact that the distribution of speech spectrum is unknown, two solutions are adopted: Gaussian distribution assumption and statistic approximation obtained by real speechmaterials.The new algorithm has been evaluated in our speech enhancement experimental system, and compared with other algorithms. The results show that the new algorithm is more effective to reduce the background noise without significant speech degradation.