【24h】

Research on The Denoising Algorithm of Speech Signal

机译:语音信号去噪算法研究

获取原文

摘要

The wavelet transform and Hilbert-Huang transform (WT) are the important methods in signal processing and each has advantages and disadvantages. In this paper, we analyzed the speech denoising methods based on wavelet transform and HHT and pointed out the characteristics. The method based on HHT and WT was applied on speech denosing and the experiments show that the results is adapt to speech denosing. This kind of methods can have a further study.
机译:小波变换和希尔伯特-黄变换(WT)是信号处理中的重要方法,各有优缺点。本文分析了基于小波变换和HHT的语音去噪方法,并指出了其特点。将基于HHT和WT的方法应用于语音去噪,实验表明该结果适合语音去噪。这种方法有待进一步研究。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号