Efficient hard and soft thresholding for wavelet speech enhancement
Efficient hard and soft thresholding for wavelet speech enhancement
复制标题
用于小波语音增强的高效硬阈值和软阈值
DOI：
10.5281/zenodo.37804
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发表时间：
2002
期刊：
影响因子：
--
通讯作者：
M. R. Khan
中科院分区：
文献类型：
--
作者：
M. S. Zilany;Md. Kamrul Hasan;M. R. Khan
本文提出了一种有效的小波阈值语音增强技术。信号偏置补偿的噪声电平被用作阈值参数。噪声以及信号电平估计从细节小波包（WP）系数在第一尺度。硬阈值和软阈值都连续应用。硬阈值化的区域通过估计它们在小波域中的信噪比（SNR）来确定。软阈值被应用到其余的区域。所提出的方案的性能进行评估的语音记录在真实的条件下与人工噪声添加到它。
This paper presents an efficient thresholding technique for wavelet speech enhancement. The signal-bias compensated noise level is used as the threshold parameter. The noise as well as signal level is estimated from the detail wavelet packet (WP) coefficients in the first scale. Both hard and soft thresholding are applied successively. The regions for hard thresholding are identified by estimating their signal to noise ratio (SNR) in the wavelet domain. Soft thresholding is applied to the rest of the regions. The performance of the proposed scheme is evaluated on speech recorded in real conditions with artificial noise added to it.