The application of perceptual weighting on millimeter wave conducted speech enhancement

A new non-air conducted speech detecting method is developed in our laboratory by means of millimeter wave (MMW) radar. However, the resulting radar speech is of less intelligible and poor audibility since the present of the combined and colored additive noise. This paper, therefore, investigates the problem of the MMW radar speech enhancement by taking into account the frequency-domain masking properties of the human auditory system and reduces the perceptual effect of the residual noise. The results from both acoustic and listening evaluation suggest that the background noise can be reduced efficiently while the distortion of MMW radar speech remains acceptable, suggesting that the proposed algorithm achieved a better performances of noise reduction over traditional subtractive-type algorithms.