Mobile Hearing Aid
Himakar Sai Chowdary Maddipati1, Manoj Kumar Alluri2,Venkata Sai Maneesh Morampudi3, Likhitha Kolupuri4, Anuradha Chinta5
1Himakar Sai Chowdary Maddipati, Department of Computer Science and engineering, VR Siddhartha Engineering College, Kanuru Vijayawada, India.
2Manoj Kumar Alluri, Department of Computer Science and engineering, VR Siddhartha Engineering College, Kanuru Vijayawada, India.
3Venkata Sai Maneesh Morampudi, Department of Computer Science and engineering, VR Siddhartha Engineering College, Kanuru Vijayawada, India.
4Likhitha Kolupuri, Department of Computer Science and engineering, VR Siddhartha Engineering College, Kanuru Vijayawada, India.
5Anuradha Chinta, Department of Computer Science and engineering, VR Siddhartha Engineering College, Kanuru Vijayawada, India.
Manuscript received on May 25, 2020. | Revised Manuscript received on June 29, 2020. | Manuscript published on July 30, 2020. | PP: 649-651 | Volume-9 Issue-2, July 2020. | Retrieval Number: B3804079220/2020©BEIESP | DOI: 10.35940/ijrte.B3804.079220
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This is about developing an android app for replicating the mechanism of hearing aid machine. Majority of the Hearing Impaired people cannot afford hearing aids due to higher cost of the Instruments. Similarly Audiometry Test for assessing the Deafness levels are also costly. Affordable Smartphone are available with majority of the Hearing Impaired people in Indian. So, we propose a Mobile Application which consists of the following three Features. This APP enables Ear phones of Phone to function as Hearing Aid for people with hearing disability. This APP converts speech to Text so that Hearing impaired people can know what other people are talking without using SIGN Language. This APP provides Pure-Tone Audiometry Test to assess level of Hearing Loss.
Keywords: Hearing aid, Audiometry Test, Pure tone audio, Audiogram, Android Media API, Android Speech Recognizer API.