A New Speech Enhancement Technique to Reduce Residual Noise Using Perceptual Constrained Spectral Weighted Factors

Abstract

This paper deals with residual musical noise which results from the perceptual speech enhancement type algorithms and especially using wiener filtering approach. Perceptual speech enhancement techniques perform better than the non perceptual techniques, most of them still return a trouble residual musical noise. This is due to that only noise above the noise masking threshold (NMT) is filtered out then noise below the noise masking threshold (NMT) can become audible if its maskers are filtered. It can affect the performance of perceptual speech enhancement method that process the audible noise only (Residual noise is still present). In order to overcome this drawback a new speech enhancement technique is proposed here.The main aim here is to improve the enhanced speech signal quality provided by perceptual wiener filtering and by controlling the latter via a second filter regarded as a psychoacoustically motivated weighting factor. The simulation results gives the information that the performance is improved compared to other perceptual speech enhancement methods.