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Speech enhancement using a noncausal a priori SNR estimator

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1 Author(s)
I. Cohen ; Dept. of Electr. Eng., Technion-Israel Inst. of Technol., Haifa, Israel

We propose a noncausal estimator for the a priori signal-to-noise ratio (SNR), and a corresponding noncausal speech enhancement algorithm. In contrast to the decision-directed estimator of Ephraim and Malah (1984), the noncausal estimator is capable of discriminating between speech onsets and noise irregularities. Onsets of speech are better preserved, while a further reduction of musical noise is achieved. Experimental results show that the noncausal estimator yields a higher improvement in the segmental SNR, lower log-spectral distortion, and better Perceptual Evaluation of Speech Quality scores (PESQ, ITU-T P.862).

Published in:

IEEE Signal Processing Letters  (Volume:11 ,  Issue: 9 )