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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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Spectral subtraction algorithm and optimize WanfengZou 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 • Using MATLAB: high-level language and interactive environment for numerical computation, visualization, and programming.
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 • 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 • spectral subtraction algorithm more effectively eliminates musical noise and improves the signal to noise rates without significantly impairing the speech intelligibility.