Improved of noise estimation algorithm based on minimum statistic

Abstract

Abstract: Noise estimation is an important component of speech enhancement system. In this paper, a new improved algorithm is proposed for noise estimation based on minimum statistic algorithm. Experimental results show that the algorithm can track the changes in noise spectrum, improve the accuracy of the noise power spectrum estimation and the quality of enhanced speech.

Key words: noise estimation, minimum statistic, speech enhancement

摘要： 噪声功率谱估计是语音增强系统中的一个重要部分。基于Martin提出的最小统计噪声功率谱估计算法（MS）提出了一种改进的噪声功率谱估计算法。实验结果表明算法能够较好跟踪噪声谱的变化，提高噪声功率谱估计的准确性，改善增强后语音的质量。

关键词: 噪声功率谱估计, 最小统计, 语音增强

YU Yao, ZHAO Heming. Improved of noise estimation algorithm based on minimum statistic[J]. Computer Engineering and Applications, 2013, 49(4): 134-137.

余耀，赵鹤鸣. 一种改进的最小统计噪声功率谱估计算法[J]. 计算机工程与应用, 2013, 49(4): 134-137.

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Improved of noise estimation algorithm based on minimum statistic

一种改进的最小统计噪声功率谱估计算法

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