1 November 2004 Comparison of wavelet- and FFT-based single-channel speech signal noise reduction techniques
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Proceedings Volume 5607, Wavelet Applications in Industrial Processing II; (2004) https://doi.org/10.1117/12.574050
Event: Optics East, 2004, Philadelphia, Pennsylvania, United States
Abstract
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 has the superiority, wavelet based alternatives can be very close, and enormous different configurations can still be tried out for possible better solutions.
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Ningping Fan, Ningping Fan, Radu V. Balan, Radu V. Balan, Justinian Rosca, Justinian Rosca, } "Comparison of wavelet- and FFT-based single-channel speech signal noise reduction techniques", Proc. SPIE 5607, Wavelet Applications in Industrial Processing II, (1 November 2004); doi: 10.1117/12.574050; https://doi.org/10.1117/12.574050
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