Speech enhancement using hybrid gain factor in critical-band-wavelet-packet transform
Digital Signal Processing
ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 200. on IEEE International Conference - Volume 02
Pattern Recognition Letters
A spectral filtering method based on hybrid wiener filters for speech enhancement
Speech Communication
Audio Denoising by Time-Frequency Block Thresholding
IEEE Transactions on Signal Processing
Improved Signal-to-Noise Ratio Estimation for Speech Enhancement
IEEE Transactions on Audio, Speech, and Language Processing
Compressive speech enhancement
Speech Communication
MCRA noise estimation for KLT-VRE-based speech enhancement
International Journal of Speech Technology
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The masking properties of the human ear have been successfully applied to adapt a speech enhancement system, yielding an improvement in speech quality. The accuracy of estimated speech spectra plays a major role in computing the noise masking threshold. Although traditional methods using the power-spectral-subtraction method to roughly estimate the speech spectra can provide an acceptable performance, the estimated speech spectra can be further improved for computing the noise masking threshold. In this article, we aim at finding a better spectral estimate of speech by the two-step-decision-directed method. In turn, this estimate is employed to compute the noise masking threshold of a perceptual gain factor. Experimental results show that the amounts of residual noise can be efficiently suppressed by embedding the two-step-decision-directed algorithm in the perceptual gain factor.