Adaptive filter theory
Multirate systems and filter banks
Multirate systems and filter banks
Speech Communication - Special issue on speech processing in adverse conditions
Noisy speech enhancement using discrete cosine transform
Speech Communication
Near-perfect-reconstruction pseudo-QMF banks
IEEE Transactions on Signal Processing
Linear phase cosine modulated maximally decimated filter banks withperfect reconstruction
IEEE Transactions on Signal Processing
Low bit rate transparent audio compression using adapted wavelets
IEEE Transactions on Signal Processing
Filtering of colored noise for speech enhancement and coding
IEEE Transactions on Signal Processing
Transform coding of audio signals using perceptual noise criteria
IEEE Journal on Selected Areas in Communications
Hi-index | 0.00 |
This paper considers a subband Kalman filtering scheme that incorporates the auditory masking properties for single channel speech enhancement. It attempts to achieve high quality enhanced speech by optimizing the trade-off between speech distortion and noise reduction. The use of Kalman filtering in the subband instead of the full-band domain leads to considerable complexity reduction and performance improvement. We propose a novel approach to incorporate the masking threshold with subband Kalman filtering, whereby the estimate of the noise variance that is used in the Kalman filtering process in each subband is modified according to the masking threshold. We adopt an iterative scheme for the estimation of autoregressive (AR) parameters. We investigate, through simulations, the proposed approach by studying the contributions from different functions including Kalman filtering, subband decomposition and perceptual effect based on masking threshold. At the same time, we examine the optimal configuration for the proposed scheme. The proposed approach leads to better enhancement results as compared to the full-band and the conventional subband Kalman filtering methods. Through intensive simulations, we show that our proposed enhancement scheme outperforms various existing well known schemes in terms of objective as well as subjective measures.