首页    期刊浏览 2024年12月03日 星期二
登录注册

文章基本信息

  • 标题:Implementation of Modified Wiener Filtering in Frequency Domain in Speech Enhancement
  • 本地全文:下载
  • 作者:C. Ramesh Kumar ; M. P. Chitra
  • 期刊名称:International Journal of Advanced Computer Science and Applications(IJACSA)
  • 印刷版ISSN:2158-107X
  • 电子版ISSN:2156-5570
  • 出版年度:2022
  • 卷号:13
  • 期号:2
  • DOI:10.14569/IJACSA.2022.0130251
  • 语种:English
  • 出版社:Science and Information Society (SAI)
  • 摘要:The most common complaint about Digital Hearing Aids is feedback noise. Many attempts have been undertaken in recent years to successfully reduce feedback noise. A wiener filter, which calculates the wiener gain using before and after filtering SNR, is one technique to reduce background noise. Modified Noise Reduction Method (MNRM), a new way for reducing feedback noise Reduction, is presented in this work. In the Modified Noise Reduction Strategy, the advantages of a wiener filter are merged with a decision-directed approach and a twin-stage noise suppression technique The Modified Noise Reduction method can reduce the noise more successfully, according to comprehensive MATLAB programming, investigation, and findings analysis. After being modelled in MATLAB for seven distinct noise types, the SNR of the two architectures is compared.
  • 关键词:Digital hearing aid; least mean square value; noise reduction method; power spectral density
国家哲学社会科学文献中心版权所有