A new perceptual post-filter for single channel speech enhancement

A major drawback of many speech enhancement methods in speech applications is the generation of an annoying residual noise with musical character. A potential solution to this artifact is the incorporation of a psychoacoustic model in the suppression filter design. In this paper a frequency domain optimal linear estimator with perceptual post-filtering is proposed, which incorporates the masking properties of the human hearing system to make the residual noise distortion inaudible. The performance of the proposed enhancement algorithm is evaluated by the Segmental SNR and Perceptual Evaluation of Speech Quality (PESQ) measures under various noisy environments and yields better results compared to the Wiener denoising technique.