Speech Communication - Special issue on speech processing in adverse conditions
Adaptive filter theory (3rd ed.)
Adaptive filter theory (3rd ed.)
Discrete Time Processing of Speech Signals
Discrete Time Processing of Speech Signals
Speech Enhancement Using Perceptual Wavelet Packet Decomposition and Teager Energy Operator
Journal of VLSI Signal Processing Systems
Psychoacoustics: Facts and Models
Psychoacoustics: Facts and Models
De-noising by soft-thresholding
IEEE Transactions on Information Theory
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In this paper, we propose a novel wavelet coefficient threshold (WCT) depended on both time and frequency information for providing robustness to non-stationary and correlated noisy environments. A perceptual wavelet filter-bank (PWFB) is firstly used to decompose the noisy speech signal into critical bands according to critical bands of psycho-acoustic model of human auditory system. The estimation of wavelet coefficient threshold (WCT) is then adjusted with the posterior SNR, which is determined by estimated noise power, through the well-known "Quantum Neural Networks (QNN)". In order to suppress the appearance of musical residual noise produced by thresholding process, we consider masking properties of human auditory system to reduce the effect of musical residual noise. Simulation results showed that the proposed system is capable of reducing noise with little speech degradation and the overall performance is superior to several competitive methods.