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How do you get rid of white noise in audacity? 

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The more this method noise looks like a real white noise, the better the method.
White noise is preferred, however, because it can be implemented with less complex instrumentation and calibration than notched noise.
The white noise property indicates high recording resolution property of the perpendicular recording media.
It is shown to be robust to reverberation and additive white noise.
In experiments with real speech contaminated by white Gaussian noise, it is shown that the proposed method provides robust spectrum estimation against additive noise.
For clinical routine use, white noise is preferred to bands of noise.
The intensity of white noise plays an important role in the treatment of infectious diseases.