Logo Lanfrica
  • Home
  • Atlas
  • Insights
  • Docs
  • Sign in

© 2026 Lanfrica. All rights reserved. All copyrights of the resources shown on the Lanfrica website belong to the original copyright holders, unless explicitly stated otherwise.

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

Domain:

natural language processingeducation

Record type:

softwarepaper
Creator:
Essien, Nseabasi PeterUwah, Victoria AnthonyOdodo, Emmanuel Philip
Publisher:
Zenodo
Host:avatar

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.

Visit

doi.org

Tasks

speech processingtext to speech

Tags

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

Licenses

info:eu-repo/semantics/openAccessCreative Commons Attribution 4.0 Internationalhttps://creativecommons.org/licenses/by/4.0/legalcode

Similar

Evaluating Yoruba Text-to-Speech Systems for Accessible Computer-Based Testing in Visually Impaired LearnersCan Text-to-Speech Systems enable Inclusive Computer-Based Testing? An Evaluation of Yoruba TTS for Visually Impaired LearnersShruti-II: A vernacular speech recognition system in Bengali and an application for visually impaired communityAn Intelligent Support System for Speech and Hearing-Impaired Persons Using Deep Learning for Nigerian Sign LanguageDesign and Implementation of Amharic Text-to-Speech System for Visual-Impaired and Blind Studentseliaskemal/Academy-Assistant-For-The-Visually-Impaired

Evaluating Yoruba Text-to-Speech Systems for Accessible Computer-Based Testing in Visually Impaired Learners

Can Text-to-Speech Systems enable Inclusive Computer-Based Testing? An Evaluation of Yoruba TTS for Visually Impaired Learners

Text-to-Speech (TTS) technology offers potential to improve exam accessibility for visually impaired

Shruti-II: A vernacular speech recognition system in Bengali and an application for visually impaired community

An Intelligent Support System for Speech and Hearing-Impaired Persons Using Deep Learning for Nigerian Sign Language

Design and Implementation of Amharic Text-to-Speech System for Visual-Impaired and Blind Students

This project focuses on the development of an advanced Amharic Text-to-Speech (TTS) system for visua

eliaskemal/Academy-Assistant-For-The-Visually-Impaired

Multilingual speech recognition system supporting Afaan Oromo, Amharic, and English with real-time v