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基于二进制小波变换和维纳滤波的语音降噪研究
引用本文:侯正风. 基于二进制小波变换和维纳滤波的语音降噪研究[J]. 信号处理, 2002, 18(3): 257-260
作者姓名:侯正风
作者单位:合肥工业大学计算机与信息学院,合肥,230009
摘    要:
本文综合应用小波变换理论和维纳滤波技术,提出一种语音降噪算法,该算法不仅能够较好地提高信噪比,而且能够有效地抑制传统的维纳滤波所产生的音乐噪声。本文最后提供的实验结果表明,该算法对于受自噪声干扰的语音具有较好的降噪效果。

关 键 词:小波变换  维纳滤波  语音  降噪
修稿时间:2001-09-12

Research for Noise Reduction from Speech Based on Dyadic Wavelet Transform and Wiener Filter
Hou Zhengfeng. Research for Noise Reduction from Speech Based on Dyadic Wavelet Transform and Wiener Filter[J]. Signal Processing(China), 2002, 18(3): 257-260
Authors:Hou Zhengfeng
Abstract:
In this paper, an algorithm for noise reduction from speech based on wavelets transform theory and Wiener filter. This algorithm can not only increase the signal to noise ratio, but also effectively quench the music noise produced by traditional Wiener filter. Finally, the experiment results is provided, which shows the algorithm is very useful and efficient in the process of white noise reduction from speech.
Keywords:Wavelet transform Wiener filter Speech Noise reduction
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