Abstract
The wavelet transform is a modern signal analysis and processing tool. Wavelet transform is finding more and more applications alongside fast Fourier transform in non-stationary signal processing. The paper describes the speech enhancement algorithm based on spectral subtractions and wavelet transform. The signal filtration is executed using a suitable coefficient threshold in the wavelet domain. The threshold values are adaptively computed according to the smoothed minimum statistic coefficients of the noise signal spectra for every frequency band. This algorithm is suitable primarily for the enhancement of speech corrupted by stationary noise.
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