Combined discrete wavelet transform and wavelet packet decomposition for speech enhancement

被引:0
|
作者
Wang, Zhen-li [1 ]
Yang, Jie [2 ]
Zhang, Xiong-wei [1 ]
机构
[1] Nanjing Inst Commun Engn, Nanjing 210007, Jiangsu, Peoples R China
[2] Shanghai Second Polytech Univ, Sch Comp & Informat, Shanghai 201209, Peoples R China
关键词
speech enhancement; discrete wavelet transform (DWT); wavelet packet decomposition (WPD); soft threshold function;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
A new wavelet domain algorithm for speech enhancement is presented. The main idea of the proposed algorithm can be described as follows: noisy speech is first split into low frequency band signal and high frequency band signal via one scale of DWT. Then, three scales of DWT and three scales of WPD are applied to the low frequency signal and the high frequency signal respectively. The denoised speech is reconstructed finally. To prevent the degradation of unvoiced sounds during noise reduction, this algorithm divides noisy speech samples into unvoiced segments and voiced segments and then applies multi-threshold to them. Compared with DWT and WPD, the new algorithm can preserve more unvoiced sounds and provide better performance as shown by computer simulation results.
引用
收藏
页码:1107 / +
页数:2
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