Article,

PHOENIX -THE BLIND LEARNING APPLICATION

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IJIRIS:: International Journal of Innovative Research in Information Security, Volume VII (Issue IV): 48-52. (June 2020)1. Be My Eyes: Android Voice Application for Visually Impaired People by RuchaDoiphode, MayuriGanore, AshwiniGarud, TejaswiniGhuge, Parminder Kaur (Guide) Department Of Computer Science Engineering Dr.Babasaheb Ambedkar Marathwada University, Jawaharlal Nehru Engineering College, Aurangabad, India 2. A new Android application for blind and visually impaired people by PiotrKardyś, Adam Dąbrowski Division of Signal Processing and Electronic Systems Poznan University of Technology, Poznan, Poland. 3. P.Kardyś,A.Dąbrowski,“Standard Bluetooth Natlebezprzewodowy chsystemów telekomunikacy jnychkrót kiegozasięgu w aplikacjach bio-itelemedycznych”, Elektronika 52 (5), 5/2011, pp. 56–59. 4. R. E. Sorace, V. S. Reinhardt, and S. A. Vaughn, “High-speed digital-to-RF converter,” U.S. Patent 5 668 842, Sept. 16, 1997. (2002) The IEEE website. Online. Available: http://www.ieee.org/..
DOI: https://doi.org/10.26562/ijiris.2020.v0705.001

Abstract

In this proposed work, “Phoenix” the blind app, a learning solution for visually impaired people which makes smart phones also blind friendly. As per our society is concerned, there are many learning solutions for the especially abled citizens, and in case of blinds there are little efforts introduced. Those small efforts taken to provide learning platforms or solutions for visually impaired people require the help of another person. Since blinds are the users of this application, the app concentrates on voice recognition, speech to text conversion and finger touch sense concepts which makes the application easier for the users. As the application runs on the background and it can be opened using speech, it makes the users to be independent. This application enhances the learning via providing audio tutorials on different subjects which can be learned theoretically. The users can communicate with the application through speech. With rapid growth of wireless communication, the need for voice recognition techniques has increased greatly. In the application, controls are provided via voice and touch mechanism.

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