STM Journals Peer-reviewed research from Consortium e-Learning Network

Trends in Opto-electro & Optical Communication

Empowering Accessibility: A Review of Text-to-Speech Systems for the Visually Impaired with Raspberry Pi

  1. Prathamesh Godse
  2. Prathamesh Chaugule
  3. Pritam Surwase
  4. R. S. Mule

Abstract

The automatic text reader for people who are blind is presented in the paper. built on a Raspberry Pi. It makes use of computer programming and image sensing tools to identify printed characters employing optical character recognition technology. It creates machine-encoded text from an image using text that has been printed, typed, or written by hand. In the present work, text-to-speech synthesis and OCR are used to convert the image into audio output (speech). The Raspberry Pi is implemented to run Python programming to transform documents that are printed into text files. Python is used to process the text files, and audio output is produced as a result.

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