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  • 标题:A Novel Uncertainty Parameter SR ( Signal to Residual Spectrum Ratio ) Evaluation Approach for Speech Enhancement
  • 本地全文:下载
  • 作者:M. Ravichandra Kumar ; B. Ravi Teja
  • 期刊名称:Signal & Image Processing : An International Journal (SIPIJ)
  • 印刷版ISSN:2229-3922
  • 电子版ISSN:0976-710X
  • 出版年度:2014
  • 卷号:5
  • 期号:5
  • 页码:1
  • 出版社:Academy & Industry Research Collaboration Center (AIRCC)
  • 摘要:Usually, hearing impaired people use hearing aids which are implemented with speech enhancementalgorithms. Estimation of speech and estimation of nose are the components in single channel speechenhancement system. The main objective of any speech enhancement algorithm is estimation of noise powerspectrum for non stationary environment. VAD (Voice Activity Detector) is used to identify speech pausesand during these pauses only estimation of noise. MMSE (Minimum Mean Square Error) speechenhancement algorithm did not enhance the intelligibility, quality and listener fatigues are the perceptualaspects of speech. Novel evaluation approach SR (Signal to Residual spectrum ratio) based on uncertaintyparameter introduced for the benefits of hearing impaired people in non stationary environments to controldistortions. By estimation and updating of noise based on division of original pure signal into three partssuch as pure speech, quasi speech and non speech frames based on multiple threshold conditions. Differentvalues of SR and LLR demonstrate the amount of attenuation and amplification distortions. The proposedmethod will compared with any one method WAT(Weighted Average Technique) Hence by usingparameters SR (signal to residual spectrum ratio) and LLR (log like hood ratio), MMSE (Minim MeanSquare Error) in terms of segmented SNR and LLR.
  • 关键词:Noise Estimation; Voice Activity Detector (VAD); Speech Enhancement; SR (Signal to Residual spectrum;ratio) parameter; Speech Intelligibility Improvement.
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