Cochlear Implant Speech Processing Using Wavelet Transform. (1st August 2012)

• Record Type: Journal Article
• Authors: Mehrzad, M.; Abolhassani, M. D.; Jafari, A. H.; Alirezaie, J.; Sangargir, M.
• Other Names: Hwang W.-L. Academic Editor.; Kwong S. Academic Editor.; Rubio Ayuso A. Academic Editor.
• Is Part Of: ISRN signal processing. Volume 2012(2012)
• Publication Date: 2012-08-01
• Subjects: Signal processing -- Periodicals; Signal processing; Periodicals; 621.3822
• DOI: 10.5402/2012/628706
• Languages: English
• ISSNs: 2090-5041

Abstract

Abstract : We present a method for coding speech signals for the simulation of a cochlear implant. The method is based on a wavelet packet decomposition strategy. We used wavelet packet db4 for 7 levels, generated a series of channels with bandwidths exactly the same as nucleus device, and applied an input stimulus to each channel. The processed signal was then reconstructed and compared to the original signal, which preserved the contents to a high percentage. Finally, performance of the wavelet packet decomposition in terms of computational complexity was compared to other commonly used strategies in cochlear implants. The results showed the power of this method in processing of the input signal for implant users with less complexity than other methods, while maintaining the contents of the input signal to a very good extent.