VOICE BASED EMAIL FOR BLIND USING MACHINE LEARNING TECHNIQUES

Authors

  • Priya Ashok Nagbhidkar Department of Computer Science and Engineering, Technology, Shri Sai, College Chandrapur, India
  • Prof Pushpa Tandekar Department of Computer Science and Engineering, Technology, Shri Sai, College Chandrapur, India
  • Prof Ashish Deharkar Department of Computer Science and Engineering, Technology, Shri Sai, College Chandrapur, India

DOI:

https://doi.org/10.59367/2jc4w978

Keywords:

Voice Recognition, Text-to-Speech (TTS), Speech-to-Text (STT), Visually challenged people

Abstract

The Internet has become an important tool for students to obtain information. Visually impaired students have no access to this tool at all and cannot be taught easily as they are unable to see online. So we develop software for the visually impaired for vision systems based on machine learning.  The proposed project is to convert text to speech and speech to text I think definitely useful for a visually impaired person. The text typed is sent to the blind person in an email where he can hear the speech. The speech said by blind person is sent to the other person where text in an email is read. Architecture of a voice e-mail system that a blind person can use to access e-mail easily and efficiently. The contribution of this research enabled blind people to send and receive voice e-mail messages in their language using a computer device. Helping people with visual impairments to engage in communication with others without external assistance. The speech-to-text and text-to-speech process makes the system more interactive and easier for the visually impaired. The system makes blind people feel like normal users . This system would be a better aid for visually challenged people to access the mail services without the help of a third person.One of the main objective of this system is that it provides more privacy.Also the system does not require the use of keyboard..Instead, it works only on mouse operations and speech conversions to text. 

References

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Published

2024-03-11

Issue

Section

Articles

How to Cite

VOICE BASED EMAIL FOR BLIND USING MACHINE LEARNING TECHNIQUES. (2024). International Journal of Futuristic Innovation in Arts, Humanities and Management (IJFIAHM), 3(1), 195-201. https://doi.org/10.59367/2jc4w978

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