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  Published Paper Details:

  Paper Title

SIGN LANGUAGE RECOGNITION AND SPEECH CONVERSION USING RASPBERRYPI

  Authors

  RAMASURI APPALANAIDU CH,  Nambolu Sai Ramya,  Killada Sumanjali,  Venkata Lakshmi,  Kinthali Gayatri

  Keywords

Sign Language, GestureRecognition, Image Processing, Visually and speech impaired, Voice output.

  Abstract


Inability to speak is considered to be true disability. People with this disability use different modes to communicate with others, there are many number of methods available for their communication one such common method of communication is sign language. Sign language allows people to communicate with human body language, each word has a set of human actions representing a particular expression. The motive of the paper is to convert the human sign language to Voice with human gesture understanding. This is achieved with the help of Raspberry pi web camera and speaker. There are a few systems available for sign language to speech conversion but none of them provide portable user interface. For consideration if a person who has a disability to speak can stand and perform in front of the system and the system converts the human gestures as speech and plays it loud so that the person could actually communicate to a mass crowd gathering. Also the system helps visually and speech impaired people to communicate with each other.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2005277

  Paper ID - 194725

  Page Number(s) - 2103-2106

  Pubished in - Volume 8 | Issue 5 | May 2020

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  RAMASURI APPALANAIDU CH,  Nambolu Sai Ramya,  Killada Sumanjali,  Venkata Lakshmi,  Kinthali Gayatri,   "SIGN LANGUAGE RECOGNITION AND SPEECH CONVERSION USING RASPBERRYPI ", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.8, Issue 5, pp.2103-2106, May 2020, Available at :http://www.ijcrt.org/papers/IJCRT2005277.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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