一种改进的基于小波的自适应块阈值语音增强方法

2010 International Conference on Wireless Communications & Signal Processing (WCSP) Pub Date : 2010-11-11 DOI:10.1109/WCSP.2010.5633538

Bin Zhou, Xiongwei Zhang, Xia Zou

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引用次数: 8

摘要

提出了一种改进的基于小波的自适应块阈值语音增强方法。G. Yu[1]引入了自适应块阈值法来消除音乐噪声伪影，但对不发音语音的处理效果不理想。为了解决这个问题，应用了一个浊音/浊音决策，并为浊音语音设置了一个小块大小。此外，考虑小波系数的尺度内和尺度间相关性，对阈值进行了调整。实验结果表明，改进后的方法比G. Yu提出的方法获得了更好的去噪效果，特别是对于无浊音语音。

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An improved wavelet-based speech enhancement method using adaptive block thresholding

An improved wavelet-based speech enhancement method using adaptive block thresholding is proposed. Adaptive block thresholding is introduced by G. Yu [1] to eliminate the musical noise artifacts, but the performance for unvoiced speech is not satisfactory. To solve this problem, a voiced/unvoiced decision is applied and a small block size is set for unvoiced speech. Furthermore, the thresholding is adjusted considering both the intrascale and interscale dependencies of wavelet coefficients. The experimental results show that the improved method can obtain better denoising performance than the method proposed by G. Yu, especially for unvoiced speech.

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2010 International Conference on Wireless Communications & Signal Processing (WCSP)

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