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

fYear

2011

fDate

24-28 Sept. 2011

Firstpage

10

Lastpage

13

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Complexity and Data Mining (IWCDM), 2011 First International Workshop on

Conference_Location

Nanjing, Jiangsu

Print_ISBN

978-1-4577-2007-9

Type

conf

DOI

10.1109/IWCDM.2011.10

Filename

6128406