SMART ENHANCING EMAIL ACCESSIBILITY THROUGH VOICE-BASED COMMUNICATION FOR INDIVIDUALS WITH VISUAL IMPAIRMENTS
Keywords:
Engineering, Automated Speech recognition (ASR), Google Speech API, Text-to-speech (TTS)Abstract
Since it makes it so easy for people to access knowledge, information, and communication tools, the internet has emerged as a crucial component of contemporary living. Individuals with vision impairments, however, frequently need outside help and have significant difficulty accessing these features. With the aid of screen readers, audio-based environments, and other features that facilitate workplace navigation, computers have created a world of possibilities for those who are visually impaired. Using the most recent technological developments, a voice-based email system has been developed that enables people with visual impairments to write and receive emails without the help of a third party. Speech recognition has become more crucial in a variety of applications, including those for home appliances, schooling, and medical procedures.
References
A. Belekar, S. Sunka, N. Bhawar, and S. Bagade, “Voice based E- mail for the Visually Impaired,” Int. J. Comput. Appl., vol. 175, no. 16, pp. 1–5, Sep. 2020.
A. Chavan, D. More, R. Chavan, R. Shinde, and S.K. Shinde, "A Voice Based Email System for the Visually Impaired People," International Journal of Innovative Research in Computer and Communication Engineering, vol. 9, no. 7, pp. 6541-6545, July 2021, doi: 10.15680/IJIRCCE.2021.0907112.
Amritha Suresh, Binny Paulose, Reshma Jagan and Joby George, "Voice Based Email for Blind". International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET ) - Volume 2, Issue 3, 2016, pp. 93-97.
B. Prasanna Kumar, Mohammad Sadhik, Venkata Gopi Krishna, J. Tirumala Rao, and Mehaboob Subhani, "Smart Mailing System for Blind People," International Journal of Innovative Science and Research Technology, vol. 8, no. 1, pp. 23-27, Jan. 2023, ISSN: 2456-2165.
Jain, V., AK, K., Shenoy, R.N. and Ahmed, M., 2021. Voice Based Email for the Visually Impaired.
M. Harshasri, Manyam Durga Bhavani, and Misra Ravikanth, "Voice Based Email for Blind," International Journal of Innovative Research in Computer Science & Technology (IJIRCST), vol. 9, no. 4, pp. 10- 13, Jul. 2021, Art. ID: IRP1185, doi: 10.21276/ijircst.2021.9.4.2.
M. R. Pradhicsha, M. Vasanth, V. Renita, and Dr. P. Lakshmi Harika, “Voice Based Mail System for Visually Impaired,” International Journal of Engineering Research & Technology (IJERT), vol. 11, no. 07, pp. 2715-2719, Jul. 2022.
O. Indalkar, S. Ghorpade, A. Sonone, and K. Pathak, "Review on Voice Based Email System for Blind People," International Journal of Advances in Engineering Research, vol. 23, no. 3, pp. 1-6, Mar. 2022, ISSN: 2231-5152, DOI: 10.21474/IJAR01/13416.
P. Ingle, H. Kanade, and A. Lanke, "Voice based e-mail System for Blinds," International Journal of Research Studies in Computer Science and Engineering (IJRSCSE), vol. 3, no. 1, pp. 25-30, 2016, ISSN 2349-4840 (Print) & ISSN 2349-4859 (Online), available: www.arcjournals.org.
Parkhi Bhardwaj, Gunjan Sethi “Voice Based E-mail System for Visually Impaired: A Review” published in International Research Journal of Engineering and Technology (IRJET) on December 12th, 2020.
R. V. C., D. R., C. S., and D. B. V., "Voice Based Email Application for Visually Impaired Person," in 2nd National Conference on Engineering Applications of Emerging Technology in association with International Journal of Scientific Research in Science, Engineering and Technology, doi:
S. G. P, S. Kumar, S. M. N, and R. G. M, "Voice Based Email Service for Visually Impaired," International Journal for Research in Applied Science & Engineering Technology (IJRASET), vol. 9, no. VIII, pp. 378-383, Aug. 2021
S. Biruntha, M. Gaja Priya, R. Kiruthika, N. Indupriya, and R. Ashwini, "Voice Based Email for Blind People Using Speech Recognition through Artificial Intelligence," International Journal of All Research Education and Scientific Methods (IJARESM), vol. 9, no. 4, pp. 1-6, Apr. 2021.
Sharma T, Kaushik P. Leveraging Sentiment Analysis for Twitter Data to Uncover User Opinions and Emotions. International Journal on Recent and Innovation Trends in Computing and Communication.2023;11(8s): 162-169.DOI: 10.17762/ijritcc.v11i8s.7186.
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