Gain adaptation based on signal-to-noise ratio for noise suppression

In this paper we describe a technique that uses adaptive gain control to achieve noise suppression in speech signals. The method used to map the dynamic range of the signal is based on the human auditory perceptual model. Since the processing is based on the model of human perception, the resulting noise suppressed speech is natural sounding. The computational complexity of the proposed method is low and the mapping of the dynamic range of the signal has a low delay. Because of these properties, this method is ideal for real-time implementation.