Voice Conversion Using Deep Learning

Authors

  • GEDALA KALYANI PG scholar, Department of MCA, CDNR collage, Bhimavaram, Andhra Pradesh. Author
  • B.S.MURTHY (Assistant Professor),Master of Computer Applications,DNR collage, Bhimavaram,Andhra Pradesh. Author

Keywords:

Voice-Based Email, Visually Impaired, Speech-to-Text (STT), Text-to-Speech (TTS), Email Accessibility, Voice Recognition, Assistive Technology, Digital Communication, Gmail API, Inclusive Computing.

Abstract

Digital communication's growing importance
creates barriers for visually impaired users who
struggle to use visual interface-based email systems for
both access and email management. The proposed
Voice-Based Email System has been developed to serve
visually impaired users with complete voice command
access for sending and receiving and managing their
emails. Both Speech-to-Text (STT) and Text-to-Speech
(TTS) technologies enable voice input and automated
speech feedback within the system to operate without
keyboard or screen dependence. Through the intuitive
voice-guided interface users can perform actions such
as registration, log in and message reading along with
email viewing and sending. Through integration of
Google Gmail API with Python-based voice recognition
this system offers accessibility for independent email
communication among visually impaired users.

Downloads

Download data is not yet available.

References

Belekar, Aishwarya, Shivani Sunka, Neha Bhawar,

and Sudhir Bagade. "Voice based E-mail for the

Visually Impaired." International Journal of

Computer Applications 175, no. 16 (2020): 8-12.

2. Harshasri, Mullapudi, Manyam Durga Bhavani, and

Misra Ravikanth. "Voice based email for

blind." International Journal of Innovative Research

in Computer Science & Technology (IJIRCST)

ISSN (2021): 2347-5552.

3. Kumar, Rahul, Vaishali Singh, Nikhat Akhtar, V.

Verma, and Shivam Srivastava. "Voice Based Email

System for People with Visual

Impairment." ResearchGate 4 (2022): 476-484.

4. Latha, L., B. Babu, and S. Sowndharya. "Voice based

email with security for visually

challenged." International Journal of Engineering

and Advanced Technology (IJEAT)-ISSN (2020):

2249-8958.

5. Rajput, Gaurav Kumar, Sachin Sharma, Bibhu

Prasad Dash, Meraj Farheen Ansari, Pawankumar

Sharma, and Surendra Kumar Shukla. "The Way to

Make Blind People Use the Email System: Voice

Based Email Generating System Using Artificial

Intelligence." In 2023 International Conference on

Artificial Intelligence and Smart Communication

(AISC), pp. 1120-1123. IEEE, 2023.

6. Mamatha, A., Veerabhadra Jade, J. Saravana, A.

Purshotham, and A. V. Suhas. "Voice based e-mail

system for visually impaired." International Journal

of Research in Engineering, Science and

Management 3, no. 8 (2020): 51-54.

7. Sharma, Aditi, Visal Ahmed, Shivika Sharma, Bristi

Jana, and Kritika Rani. "An effective approach to

speech-based email assistance for visually impaired

people." In 2022 8th International Conference on

Signal Processing and Communication (ICSC), pp.

32-35. IEEE, 2022.

8. Jain, Viram, Krithika AK, Rachana N. Shenoy, and

Muzameel Ahmed. "Voice Based Email for the

Visually Impaired." In Proceedings of the

International Conference on IoT Based Control

Networks & Intelligent Systems-ICICNIS. 2021.

9. Bhore, Nivedita, Shraddha Mahala, Komal

Acharekar, and Madhavi Waghmare. "Email System

for Visually Impaired People." INTERNATIONAL

JOURNAL OF ENGINEERING RESEARCH &

TECHNOLOGY (IJERT) NTASU–2020 9, no. 03

(2021).

10. Tiwari, Paulus A., Pratiksha Zodawan, Harsha P.

Nimkar, Trishna Rotke, Priya G. Wanjari, and

Umesh Samarth. "A Review on Voice based E-Mail

System for Blind." In 2020 International Conference

on Inventive Computation Technologies (ICICT), pp.

435-438. IEEE, 2020.

Downloads

Published

2025-05-23

Issue

Section

Articles

How to Cite

Voice Conversion Using Deep Learning. (2025). International Journal of Multidisciplinary Engineering In Current Research, 10(5), 687-691. https://ijmec.com/index.php/multidisciplinary/article/view/721