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Spectral subtraction algorithm and optimize. Wanfeng Zou 7/3/2014. Summary. A speech enhancement algorithm was developed based on spectral subtraction to reduce the disturbances of noise on speech communications. Experimental Tools.

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Presentation Transcript
summary
Summary
  • A speech enhancement algorithm was developed based on spectral subtraction to reduce the disturbances of noise on speech communications.
experimental tools
Experimental Tools
  • Using MATLAB: high-level language and interactive environment for numerical computation, visualization, and programming.
experimental objects
Experimental objects
  • clear speech signal: 11.wav
  • Voice Signal with noise: 12.wav

by adding a sine wave noise signal (0.5 amplitude and 1000Hz frequency)

improve spectral subtraction algorithm
Improve spectral subtraction algorithm
  • α is spectral subtraction correction factor, changethe value of α will further enhance the signal to noise ratio;
  • ß as spectral subtraction noise figure, its role is to reduce the noise power spectrum, modify the coefficient of ß would serve to reduce noise and highlight the speech spectrum.
conclusion
Conclusion
  • spectral subtraction algorithm more effectively eliminates musical noise and improves the signal to noise rates without significantly impairing the speech intelligibility.
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