A Novel Signal-Processing Strategy Based on Bark Wavelet Transform for Cochlear Implants

Cochlear implant is one of the most promising medical applications aiming to utmost restore deaf patients hearing. How to improve voice quality by using effectively algorithms has become a bottleneck. In our research, a new speech signal processing scheme is given based on Bark Wavelet Transform (BWT). This signal-processing strategy can non-uniformly separates the time-frequency space, which is similar with human auditory physiology. By simulating the Matlab simulation, we clearly confirm that the strategy of this paper shows a better performance while comparing to CIS strategy.