An accurate and revised version of optical character recognition-based speech synthesis using LabVIEW

TL;DR

This paper introduces a novel OCR-based speech synthesis system implemented in LabVIEW, aimed at improving access to written content for visually impaired individuals through accurate and cost-effective technology.

Contribution

The paper presents a new OCR-based speech synthesis system developed in LabVIEW that enhances accessibility for the visually impaired.

Findings

System achieves high accuracy in character recognition

Cost-effective and user-friendly implementation

Improves access to written content for visually impaired

Abstract

Knowledge extraction through sound is a distinctive property. Visually impaired individuals often rely solely on Braille books and audio recordings provided by NGOs. Due to limitations in these approaches, blind individuals often cannot access books of their choice. Speech is a more effective mode of communication than text for blind and visually impaired persons, as they can easily respond to sounds. This paper presents the development of an accurate, reliable, cost-effective, and user-friendly optical character recognition (OCR)-based speech synthesis system. The OCR-based system has been implemented using Laboratory Virtual Instrument Engineering Workbench (LabVIEW).