Speech enhancement using hybrid gain factor in critical-band-wavelet-packet transform
Digital Signal Processing
Wavelet speech enhancement based on time-scale adaptation
Speech Communication
Speech signal enhancement through adaptive wavelet thresholding
Speech Communication
A Laplacian-based MMSE estimator for speech enhancement
Speech Communication
Pattern Recognition Letters
Efficient alternatives to the Ephraim and Malah suppression rule for audio signal enhancement
EURASIP Journal on Applied Signal Processing
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A gain factor adapted by both the intra-frame masking properties of the human auditory system and the inter-frame SNR variation is proposed to enhance a speech signal corrupted by additive noise. In this article we employ an averaging factor, varying with time-frequency, to improve the estimate of the a priori SNR. In turn, this SNR estimate is utilized to adapt a gain factor for speech enhancement. This gain factor reduces the spectral variation over successive frames, so the effect of musical residual noise is mitigated. In addition, the simultaneous masking property of the human ears is also employed to adapt the gain factor. Imperceptive residual noise with energy below the noise masking threshold is retained, resulting in a reduction of speech distortion. Experimental results show that the proposed scheme can efficiently reduce the effect of musical residual noise.