Voice Based E-Mail System using Artficial Intelligence
Rijwan Khan1 Pawan Kumar Sharma2, Sumit Raj3, Sushil Kr. Verma4, Sparsh Katiyar5
1Rijwan Khan*, Department of Computer Science and Engineering, ABES Institute of Technology, Ghaziabad, Affiliated to AKTU Lucknow, India.
2Pawan Kumar Sharma, Department of Applied Science, Krishna Engineering College, Ghaziabad, Affiliated to AKTU Lucknow, India.
3Sumit Raj, Department of Computer Science and Engineering, ABES Institute of Technology, Ghaziabad, Affiliated to AKTU Lucknow, India.
4Sushil Kr. Verma, Department of Computer Science and Engineering, ABES Institute of Technology, Ghaziabad, Affiliated to AKTU Lucknow, India.
5Sparsh Katiyar, Department of Computer Science and Engineering, ABES Institute of Technology, Ghaziabad, Affiliated to AKTU Lucknow, India.
Manuscript received on January 26, 2020. | Revised Manuscript received on February 05, 2020. | Manuscript published on February 30, 2020. | PP: 2277-2280 | Volume-9 Issue-3, February 2020. | Retrieval Number: C5930029320/2020©BEIESP | DOI: 10.35940/ijeat.C5930.029320
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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: One of the mostly used forms of communication among the people is Email. Lot of confidential and urgent information is exchanged over emails in today’s time. There are about 253 million visually impaired people worldwide. These visually impaired people are facing a problem of communication. Since, technology is growing day by day these types to visually challenged people feel that they are more challenged. So authors proposed a Voice based Email System using AI that will make email system very easily accessible to visually challenged people and also help society. Accessibility is the most important feature that is considered while developing this system. Any system is called accessible only if both able and disable people can use it easily.
Keywords: Speech recognition, Text to speech, Voice mail, visually challenged people.