By Topic

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

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
Yan Shen ; Sch. of Phys. Sci. & Technol., Soochow Univ., Suzhou, China ; Zhi Tao ; Ji-Hua Gu ; Xiao-Jun Zhang
more authors

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.

Published in:

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

Date of Conference:

24-28 Sept. 2011