Spectral subtraction algorithm and optimize
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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.