Survey on noise cancellation techniques of speech signal by adaptive filtering

Anuja N. Untwale, Kishori S. Degaonkar
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引用次数: 8

Abstract

With the help of different digital signal processing techniques speech signals can be used for many applications like speaker recognition, biomedical engineering, communication area and industrial applications. Degradation of speech signals occurs due to unavoidable noise sources and hence causes problems in respective applications. An efficient technique for noise removal is adaptive filtering; as it does not require signal statistics. This paper gives details about various available adaptive techniques that are useful for improving signal to noise ratio of speech signals. These techniques are studied based on the factors complexity, convergence and computation time, stability and SNR.
语音信号自适应滤波降噪技术综述
在不同的数字信号处理技术的帮助下,语音信号可以用于许多应用,如说话人识别,生物医学工程,通信领域和工业应用。由于不可避免的噪声源,语音信号会出现退化,从而在各自的应用中造成问题。一种有效的去噪技术是自适应滤波;因为它不需要信号统计。本文详细介绍了各种可用于提高语音信号信噪比的自适应技术。从复杂度、收敛性和计算时间、稳定性和信噪比等方面对这些技术进行了研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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