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CODING AND ANALYSIS OF SPEECH IN COCHLEAR IMPLANT: A REVIEW.

Authors :
Barda, Seema
Vir, Dharam
Singh, Shailendra
Source :
International Journal of Advanced Research in Computer Science; May/Jun2018, Vol. 9 Issue 3, p118-125, 8p
Publication Year :
2018

Abstract

About 5% of the total population of world has hearing impairment and this is 6.3% in India. The hearing impairment in patients can be corrected by using a hearing aid or cochlear implant (CI) .Hearing aid is a traditional way while CI, which is surgically implanted, is a modern way to correct the hearing impairment. In comparison to hearing aids CI increases speech intelligibility at a greater level. Also speech intelligibility decreases in noise though acceptable in noise-free environments. With the advancement of technology over past decades, it shows increase in speech intelligibility with new emerging speech coding strategies. In this paper the basic speech processing strategies for speech coding and different techniques and algorithms, which aimed to increase the speech intelligibility, are being reviewed. Speech will be analyzed based on some measures like Analysis of Variation (ANOVA), Root Mean Square Error (RMSE) etc. The focus will be on speech perception and intelligibility enhancement. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09765697
Volume :
9
Issue :
3
Database :
Complementary Index
Journal :
International Journal of Advanced Research in Computer Science
Publication Type :
Academic Journal
Accession number :
130528084
Full Text :
https://doi.org/10.26483/ijarcs.v9i3.6092