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In this paper, for real time enhancement of noisy speech, a method ofthreshold determination based on modeling of Teager energy (TE) operatedperceptual wavelet packet (PWP) coefficients of the noisy speech and noise byan Erlang-2 PDF is presented. The proposed method is computationally muchfaster than the existing wavelet packet based thresholding methods. A customthresholding function based on a combination of mu-law and semisoftthresholding functions is designed and exploited to apply the statisticallyderived threshold upon the PWP coefficients. The proposed custom thresholdingfunction works as a mu-law or a semisoft thresholding function or theircombination based on the probability of speech presence and absence in asubband of the PWP transformed noisy speech. By using the speech filesavailable in NOIZEUS database, a number of simulations are performed toevaluate the performance of the proposed method for speech signals in thepresence of Gaussian white and street noises. The proposed method outperformssome of the state-of-the-art speech enhancement methods both at high and lowlevels of SNRs in terms of standard objective measures and subjectiveevaluations including formal listening tests.

Modeling of Teager Energy Operated Perceptual Wavelet Packet Coefficients with an Erlang-2 PDF for Real Time Enhancement of Noisy Speech