基于变分模态分解和小波分析的语音信号去噪方法Speech signal denoising method based on VMD and wavelet analysis
陆振宇,卢亚敏,夏志巍,黄现云
摘要(Abstract)：
针对传统的语音信号降噪方法可能滤除部分有效信号且信噪比尚可进一步提升的问题,提出一种基于变分模态分解和小波分析去噪的方法。利用VMD对原始语音信号进行分解,分别对各模态分量进行相关性分析并设定阈值,对低于阈值的模态分量进行小波阈值去噪,提取出有用信号之后再与剩余的模态进行重构。仿真实验结果表明,采用所提方法去噪后的信噪比得到了很好的提高,且避免了在直接采用EEMD和VMD去噪过程中出现部分有用信号丢失的情况,最终实现了良好的去噪效果。
关键词(KeyWords)： 语音信号;变分模态分解;相关系数;小波阈值去噪;相关性分析;阈值设定
基金项目(Foundation): 国家自然科学基金面上项目(61473334)~~
作者(Author): 陆振宇,卢亚敏,夏志巍,黄现云
DOI: 10.16652/j.issn.1004-373x.2018.13.011
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