Title :
A Novel Signal-Processing Strategy Based on Bark Wavelet Transform for Cochlear Implants
Author :
Shen, Yan ; Tao, Zhi ; Gu, Ji-Hua ; Zhang, Xiao-Jun ; Zhu, Jun-Jie
Author_Institution :
Sch. of Phys. Sci. & Technol., Soochow Univ., Suzhou, China
Abstract :
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.
Keywords :
cochlear implants; medical signal processing; speech processing; wavelet transforms; Bark wavelet transform; Matlab simulation; cochlear implants; deaf patients; human auditory physiology; signal processing strategy; speech signal processing scheme; time-frequency space; Auditory system; Filter banks; Frequency modulation; Speech; Time frequency analysis; Wavelet transforms; Bark Wavelet Transform; Cochlear implant; Modulation; Pitch frequency;
Conference_Titel :
Complexity and Data Mining (IWCDM), 2011 First International Workshop on
Conference_Location :
Nanjing, Jiangsu
Print_ISBN :
978-1-4577-2007-9
DOI :
10.1109/IWCDM.2011.10
