CFP last date
20 January 2025
Call for Paper
February Edition
IJCA solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 20 January 2025

Submit your paper
Know more
The week's pick
Responsive image
SFLA-Based Line Balancing and Task Optimization in Master-Slave Controlled Hanger Transportation Systems for Garment Production

Duc Hoang Nguyen
Random Articles
Reseach Article

Digital Hearing Aid for Ski-Slope Hearing Loss

Published on July 2018 by Arpitha Nagesh K, Kavya P, Kavyashree B K, Kruthishree K S, Girijamba D L, T. P. Surekha
journal_cover_thumbnail

National Conference on Electronics, Signals and Communication
Foundation of Computer Science USA
NCESC2017 - Number 4
July 2018
Authors: Arpitha Nagesh K, Kavya P, Kavyashree B K, Kruthishree K S, Girijamba D L, T. P. Surekha
7a8fb449-8a90-47eb-bf8a-2b8a76107138

Arpitha Nagesh K, Kavya P, Kavyashree B K, Kruthishree K S, Girijamba D L, T. P. Surekha . Digital Hearing Aid for Ski-Slope Hearing Loss. National Conference on Electronics, Signals and Communication. NCESC2017, 4 (July 2018), 1-3.

@article{
author = { Arpitha Nagesh K, Kavya P, Kavyashree B K, Kruthishree K S, Girijamba D L, T. P. Surekha },
title = { Digital Hearing Aid for Ski-Slope Hearing Loss },
journal = { National Conference on Electronics, Signals and Communication },
issue_date = { July 2018 },
volume = { NCESC2017 },
number = { 4 },
month = { July },
year = { 2018 },
issn = 0975-8887,
pages = { 1-3 },
numpages = 3,
url = { /proceedings/ncesc2017/number4/29626-7120/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Electronics, Signals and Communication
%A Arpitha Nagesh K
%A Kavya P
%A Kavyashree B K
%A Kruthishree K S
%A Girijamba D L
%A T. P. Surekha
%T Digital Hearing Aid for Ski-Slope Hearing Loss
%J National Conference on Electronics, Signals and Communication
%@ 0975-8887
%V NCESC2017
%N 4
%P 1-3
%D 2018
%I International Journal of Computer Applications
Abstract

Hearing loss can be defined as total or limited loss of hearing capacity. Noise is one of the cause of hearing loss. Hearing aid is defined as an electro acoustic device which amplifies sound. 5. 3 percent of earth's population suffer from hearing loss. DSP hearing aids are desirable compared to analog hearing aids because of their technicality and functionality. The digital hearing aid can be programmed conveniently using digital signal processing and this accounts to self adjustable nature of digital hearing aid. Adaptive filtering is used which effectively cancels out the additive noise. The algorithms used here will help in changing the filter coefficients to adapt to the audio signal. Gain is selectively added at higher frequency according to the person's hearing loss. This makes digital hearing aid flexible. Finally the processed is made to fit user's hearing range. Spectrogram is plotted to show the change in frequency of the signal with time. The MATLAB provides plenty of the toolboxes to carryout engineering calculations for various applications. Thus MATLAB is used for simulation.

References
  1. http://www. hear-it. org.
  2. Navdeep Kaur and Dr. Hardeep Singh Ryait. , "Study of Digital Hearing Aid Using Frequency Shaping Function", International Journal of Engineering Research and Technology (IJERT), Vol. 2, Issue 5, May 2013.
  3. Ritwik Dhawan "Digital Filtering in Hearing Aid for the Hearing Impaired",International Conference on Electrical,Electronics and Optimization Techniques(ICEEOT),2016
  4. Alexander D Poularikas,Discrete Random Signal Processing and Filtering Primer with MATLAB,2008
  5. Trudy Stetzler, Neeraj Magotra,Pedro Gelabert, Preethi Kasthuri,Sridevi Bangalore, "Low-Power Real-Time Programmable DSP Development Platform for Digital Hearing Aids",application report published by Texas Instrument ,2000.
Index Terms

Computer Science
Information Sciences

Keywords

Adaptive Filter Lms Algorithm Fast Fourier Transfer Nlms Algorithm.