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Comparison of wavelet- and FFT-based single-channel speech signal noise reduction techniques
2004
Wavelet Applications in Industrial Processing II
This paper compares wavelet and short time Fourier transform based techniques for single channel speech signal noise reduction. Despite success of wavelet denoising of images, it has not yet been widely used for removal of noise in speech signals. We explored how to extend this technique to speech denoising, and discovered some problems in this endeavor. Experimental comparison with large amount test data has been performed. Our results have shown that although the Fourier domain methods still
doi:10.1117/12.574050
fatcat:o77qoiqf6rhhralamxx3tccpiy