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  Published Paper Details:

  Paper Title

REAL TIME SPEECH TO TEXT

  Authors

  Rakesh Choudhary,  Dr M.N. Nachappa2

  Keywords

Automatic Speech Recognition, Neural Network, Real time speech to text.

  Abstract


Deaf individuals face a lot of inconvenience in communicating due to various type of hearing loss, and their hearing loss may affect their interpersonal communication and ability to recognize facial emotions. Little research has been done on how new technology could assist and solve hearing impairments of deaf people. This paper examines the methods created by numerous researchers to convert speech to text in real time, which would help deaf individuals communicate. We examine these approaches and list their benefits and drawbacks in order to see where this domain might be improved. This publication intends to provide young scholars interested in contributing to this topic with an overview of the numerous options available.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2203046

  Paper ID - 216526

  Page Number(s) - a323-a332

  Pubished in - Volume 10 | Issue 3 | March 2022

  DOI (Digital Object Identifier) -    http://doi.one/10.1729/Journal.29678

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

  E-ISSN Number - 2320-2882

  Cite this article

  Rakesh Choudhary,  Dr M.N. Nachappa2,   "REAL TIME SPEECH TO TEXT", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 3, pp.a323-a332, March 2022, Available at :http://www.ijcrt.org/papers/IJCRT2203046.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


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