An Optimal Smoothing Factor for Reducing Musical Residual Noise in Speech Enhancement

Reduction of musical residual noise for speech enhancement using masking properties and optimal smoothing

Post-Filter Optimization for Multichannel Automotive Speech Enhancement

In an automotive environment, quality of speech communication using a hands-free equipment is often deteriorated by interfering car noise. In order to preserve the speech signal without car noise, a multichannel speech enhancement system including a beamformer and a post-filter can be applied. Since employing a beamformer alone is insufficient to substantially reducing the level of car noise, a...

Wavelet-Based Speech Enhancement Using Time-Frequency Adaptation

Recommended by Satya Dharanipragada Wavelet denoising is commonly used for speech enhancement because of the simplicity of its implementation. However, the conventional methods generate the presence of musical residual noise while thresholding the background noise. The unvoiced components of speech are often eliminated from this method. In this paper, a novel algorithm of wavelet coefficient th...

Enhanced spectral subtraction method for noise reduction with minimal speech distortion

In this paper, we propose a method for enhancing speech corrupted by broadband noise. The method is based on the spectral subtraction technique. Besides reducing the noise conventional spectral subtraction introduces an annoying residual musical noise. To eliminate the musical noise we propose to introduce reduced varying scaling factor of spectral subtraction, with a following application of w...

An optimal speech enhancement under speech uncertainty probability and masking property of auditory system

Recently, I.Cohen has presented causal and noncausal algorithms to modify the classic decision-directed approach for prior SNR. It is well-known that prior SNR is critical to trade off the musical noise level and the audible clearness level in spectral subtraction speech enhancement. However, all these algorithms conflict with statistical signal model more or less. To adjust smoothing parameter...