Extended spectral subtraction
Pavel Sovka, Petr Pollák, Jan Kybic · 1996
This paper describes a new method for one channel noise suppression system which overcomes the typical disadvantage of one channel noise suppression algorithms - the impossibility of noise estimation during speech sequence. Our method is the combination of Wiener filtering and spectral subtraction. The noise can be successfully updated even during the speech sequences and that is why there is no need of the voice activity detector. 1 INTRODUCTION The spectral subtraction offers the simple and computationally efficient tool for the suppression of an additive noise in a speech signal. This method has been extensively studied for almost twenty years. The research has been focused on higher degree of noise suppression, lower speech distortion, and less audible musical noise. The last requirement is important especially in the handfree telephony application. But the main shortcoming of this method has not been overcome for a long time. It is the updating of the background noise characteris...