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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM29734

Text To Sign Language in Banking Sector

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM29734

Volume:

8 |

3 |

Mar 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

KS

Koppal Sahasra

MK

Manoj Karanam

PAK

Pulletikurthi Ajay Kumar

YCaCS

Yerubandi Chetan and Chandra Sekhar

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Abstract

Speaking languages have a large number of machine translation systems at their disposal, but there aren’t many systems that translate spoken to sign language. Our initiative provides real-time translation of text-based banking transactions into sign language animations, with the goal of bridging the communication gap between financial institutions and consumers with hearing impairments. The system examines textual inputs including account statements, transaction data, and customer inquiries. It then gives related sign language animations from our directory that effectively express the information.

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Cite This Article

Koppal Sahasra, Manoj Karanam, Pulletikurthi Ajay Kumar, Yerubandi Chetan and Chandra Sekhar, "Text To Sign Language in Banking Sector," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 3, Mar 2024.

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12/31/45378

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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