SPEECH CONVERSION FROM THE EXTRACTED TEXT OF IMAGE FOR BLIND PEOPLE

Authors

  • Anugna akkala Professor, Department of CSE, RISE Krishna Sai Prakasham Group of Institutions, Ongole, AP, India Author
  • Prem kumar S. Professor, Department of CSE, RISE Krishna Sai Prakasham Group of Institutions, Ongole, AP, India Author

DOI:

https://doi.org/10.61841/xxjvsy66

Keywords:

optical character recognition, passive infrared sensor, gray values, accuracy, manipulation

Abstract

This paper is about a device that is used to convert image text into voice. Language is one of the main problems in communication. The primary motivation of this project is to provide a user-friendly interface for blind people. Input is text for books, papers, magazines, etc.; output is in speech form. This system is for blind people. Whatever the input given to the device, the output is produced in speech. The optical character recognition (OCR) engine is mainly used for the conversion process. Python coding is used for the conversion process. The main components are the Raspberry Pi, camera module, headphones, or speaker. Worldwide, many people are blind and unable to read the text present in papers; this is the system very useful for blind people for knowing information in papers. 

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References

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Published

30.04.2020

Issue

Vol. 24 No. 2 (2020): 24 (2) 2020

Section

Articles

License

Copyright (c) 2020 AUTHOR

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How to Cite

akkala, A., & S. , P. kumar. (2020). SPEECH CONVERSION FROM THE EXTRACTED TEXT OF IMAGE FOR BLIND PEOPLE. International Journal of Psychosocial Rehabilitation, 24(2), 5643-5647. https://doi.org/10.61841/xxjvsy66