Warped DFT Based Perceptual Noise Reduction System
This paper considers a novel application of the Warped Discrete Fourier Transform in single channel noise reduction system. Namely, the WDFT is simultaneously the basis for spectral weighting and psychoacoustic model, thus allowing overall system to operate strictly in the critical band domain. The warped transform allows non-uniform allocation of the z transform frequency samples in good accordance with the Bark scale. Thus the psychoacoustic modeling is more accurate than in the DFT-based solutions and the subjective quality of enhanced speech increases. The noise suppression algorithm utilizes the majority of currently most advanced ideas in perceptually motivated spectral weighting. Its especial advantage is in the fact that the masking threshold is directly involved into the weighting rule.
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