An Interactive Intelligent Web-Based Text-to-speech System for the Visually Impaired

Authors

  • Nesabasi P. Essien Computer Education, University of Uyo
  • Victoria A. Uwah Computer Science Department, Akwa Ibom State College of Education, Afaha Nsit
  • Emmanuel P. Ododo Computer Education, University of Uyo

Keywords:

Text to Speech system, Natural Language Processing, Digital Signal Processing, Web based system

Abstract

Text-to-speech is an AI-based system that converts text into speech. It uses Natural Language Processing and Digital Signal Processing to achieve its goal. The paper describes a web-based system that converts text to speech. It was developed using JavaScript and is compatible with a variety of speech synthesis libraries. The programming language used in this project is light-weight and can support development of web apps. It is also able to convert plain text files into an audio format. The system is able to convert plain text files to audio. This software can be used by users all around the world at the same time and its supported on major desktop and hand-held devices once it is linked to the web. This system will be of great help to lecturers and students in the classroom, e-libraries and computer aided learning for visually impaired users.

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Published

2021-11-13

How to Cite

Essien, N. P., Uwah, V. A., & Ododo, E. P. (2021). An Interactive Intelligent Web-Based Text-to-speech System for the Visually Impaired. Asia-Africa Journal of Recent Scientific Research, 1, 76–98. Retrieved from https://journals.iapaar.com/index.php/AAJRSR/article/view/21

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Section

Articles