A speech enhancement method based on Kalman filtering

K. Paliwal, A. Basu
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引用次数: 343

Abstract

In this paper, the problem of speech enhancement when only corrupted speech signal is available for processing is considered. For this, the Kalman filtering method is studied and compared with the Wiener filtering method. Its performance is found to be significantly better than the Wiener filtering method. A delayed-Kalman filtering method is also proposed which improves the speech enhancement performance of Kalman filter further.
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基于卡尔曼滤波的语音增强方法
本文研究了只有损坏的语音信号可供处理时的语音增强问题。为此,对卡尔曼滤波方法进行了研究,并与维纳滤波方法进行了比较。结果表明,该方法的性能明显优于维纳滤波方法。提出了一种延迟卡尔曼滤波方法,进一步提高了卡尔曼滤波的语音增强性能。
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