Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
@article{204369,
author = {Prajakta Shahaji Satav and Om Patil and Atharva Shinde and Jayesh Patil and Dr. Nisha Wandile},
title = {Speech-Driven Text Authoring System for Differently-Abled Users},
journal = {International Journal of Innovative Research in Technology},
year = {2026},
volume = {13},
number = {1},
pages = {2265-2272},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=204369},
abstract = {The proposed document is in detailed explanation of how the AI-powered text editor helps disabled writers. The system basically integrates voice recognition with a voice-based punctuation editor, enabling users to dictate text along with commands such as “comma,” “full stop,” and “new paragraph.” Audio is captured through the browser and processed using an AI-based speech-to-text engine, while a developed voiceprocessing engine analyses text and converts it into appropriate symbols. The processed text is displayed in a lightweight web editor that supports editing, correction, and file export. Prioritising accessibility, low latency, and user-friendliness, the system specifically enhances the writing productivity of the individuals who depend on voice input. Overall, the project offers an af- fordable, AI-driven, and user-friendly solution. Improves digital accessibility and supports inclusive writing for handicapped users. Index Terms—Speech-to-Text, Voice-Based Typing, Punctuation Recognition, AI Text Editor, Handicapped Writers, Natural Language Processing, Automatic Speech Recognition, Voice Command Processing.},
keywords = {component, formatting, style, styling, insert},
month = {June},
}
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