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For enhancement of noisy speech, a method of threshold determination based onmodeling of Teager energy (TE) operated perceptual wavelet packet (PWP)coefficients of the noisy speech by exponential distribution is presented. Acustom thresholding function based on the combination of mu-law and semisoftthresholding functions is designed and exploited to apply the statisticallyderived threshold upon the PWP coefficients. The effectiveness of the proposedmethod is evaluated for car and multi-talker babble noise corrupted speechsignals through performing extensive simulations using the NOIZEUS database.The proposed method outperforms some of the state-of-the-art speech enhancementmethods both at high and low levels of SNRs in terms of the standard objectivemeasures and the subjective evaluations including formal listening tests.

Enhancement of Noisy Speech Exploiting an Exponential Model Based Threshold and a Custom Thresholding Function in Perceptual Wavelet Packet Domain