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).
Abstract (translated)
通过声音进行知识提取是一种独特的特性。视障人士通常依赖于非政府组织提供的盲文书籍和音频录音，但由于这些方法的局限性，他们往往无法获取自己选择的书籍。对于盲人及视力受损者而言，语音比文本更有效的沟通方式，因为他们可以轻松地对声音做出回应。本文介绍了开发一种准确、可靠、成本效益高且用户友好的基于光学字符识别（OCR）的语音合成系统的进展。该OCR系统已使用实验室虚拟仪器工程工作台（LabVIEW）实现。
URL
https://arxiv.org/abs/2506.15029
