Implementation of spectral maxima sound processing for cochlear implants by using Bark scale frequency band partition

Author

Xianhua, Han ; Kaibao, Nie

Author_Institution

Dept. of Inf. Sci. & Eng., Shandong Univ., Jinan, China

Volume

2

fYear

2001

fDate

2001

Firstpage

2097

Abstract

A new method based on Bark scale frequency-band partition is presented to improve the recognition performance of cochlear implants. Using the principles of physics, it is based on the human cochlea filtering properties. Also the mechanism of a cochlear implant and its spectral maxima sound processing (SMSP) strategy are presented. The time-frequency analyzing property of the human cochlea is considered. The theoretical determination of the Bark scale frequency-band is also given with a formula. Simulation results using Bark scale transform signal processing are discussed in detail and the results show that the new method is feasible in speech processors for cochlear implants.

Keywords

ear; hearing aids; medical signal processing; prosthetics; speech processing; speech recognition; time-frequency analysis; Bark scale frequency band partition; cochlear implant mechanism; cochlear implants; deaf; electrical stimulation; hearing ability restoration; humans cochlea filtering properties; inner ear; peripheral acoustical nerve; recognition performance improvement; spectral maxima sound processing; speech processors; Auditory system; Bandwidth; Biomembranes; Cochlear implants; Deafness; Electrodes; Filters; Frequency; Signal processing; Speech processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE

ISSN

1094-687X

Print_ISBN

0-7803-7211-5

Type

conf

DOI

10.1109/IEMBS.2001.1020648

Filename

1020648