Noise Suppression using a Perceptual Model for Wideband Speech Signals

Traditional algorithms for suppressing background noise in speech signals can add annoying artefacts to the resulting denoised signal. In applications requiring better than toll quality, it is desirable that noise suppression should not add any audible artefacts. This paper describes a method that is effective for narrowband and applies these methods to wideband signals. The method presented uses a high-resolution psychoacoustic model originally developed for the evaluation of audio quality, and combines it with a method originally developed for audio signal enhancement. It is shown that while the method works well in narrowband applications, in wideband signals the quality needs to be improved.