An accurate and revised version of optical character recognition-based speech synthesis using LabVIEW
This work addresses accessibility for visually impaired people by converting text to speech, but it appears incremental as it applies existing OCR and speech synthesis methods in a new implementation.
The paper tackled the problem of limited book access for visually impaired individuals by developing an OCR-based speech synthesis system using LabVIEW, resulting in a system described as accurate, reliable, cost-effective, and user-friendly.
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).