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  • 标题:DISCRETE S-TRANSFORM BASED SPEECH ENHANCEMENT
  • 本地全文:下载
  • 作者:Hu Guo-hua ; Li Rui ; Tao Liang
  • 期刊名称:International Journal on Smart Sensing and Intelligent Systems
  • 印刷版ISSN:1178-5608
  • 出版年度:2015
  • 卷号:8
  • 期号:4
  • 页码:2231-2246
  • 出版社:Massey University
  • 摘要:S-transform (ST) is an effective time-frequency representation method with the advantages ofshort-time Fourier transform and wavelet transform. This paper utilizes the advantages of the powerspectral subtraction method and the speech enhancement method to presents a novel speechenhancement algorithm based on discrete ST. Firstly, the speech in time domain is transformed by STto joint time-frequency domain for spectral subtraction so that the clear speech spectrum can beobtained and then the inverse ST is performed to acquire the enhanced speech in time domain.Simulation experiment is done to verify the validity of the method. The experiment results show that theproposed method can effectively enhance the de-noising ability and improve the signal-to-noise ratio.
  • 关键词:Discrete s-transform; time-frequency domain; speech enhancement
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