UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 12 | Issue 9 | September 2025

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Published in:

Volume 11 Issue 11
November-2024
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2411504


Registration ID:
551385

Page Number

f32-f37

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Title

AUDIO-TO-GESTURE TRANSLATION USING MACHINE LEARNING

Abstract

Signed language is an oral language used by the deaf community. In contrast to sound sequences that are quietly passed on, the use of sign language uses nonverbal cues and handwritten messages to convey knowledge. It is accomplished by simultaneously including hand kinds, hand exposure and movement, and facial expressions. It can be employed to interact with those who are hard of hearing or deaf by those who have trouble hearing, by those who can hear but cannot speak, and by normal individuals. Use to sign a language is crucial for the cognitive, internal, and verbal development of a deaf person. It is important to respect the deaf person's primary tongue and provide bilingual instruction in language that is spoken and written as well as the use of sign language. Folks who are deaf or hard of hearing use vibrant body language known as Indian sign up word for speaking. Around the world, there are diverse communities of deaf people, and they speak different dialects. Indian sign language (ISL) is used in India for communication and dedication transmission; British sign language (BSL) is used in the UK for communication purposes; and American sign language (ASL) is applied in the United States. In "Indian Subscribe Speech (ISL)," sentiments, generalizations, and desires are expressed through homemade speech and body language (non-manual exchange)." ISL signals that are one-handed, two-handed, and non-manual can all be divided into three different categories. Similar to one- and two-handed signs, signed words are created by the signed using their hands to convey knowledge. Non-manual signs are created by modifying looks and body posture. Our planned a website will primarily feature homemade signs and translate English textbooks into agree languages, making it possible for Indians with hearing impairments to engage with individuals.

Key Words

AUDIO-TO-GESTURE TRANSLATION USING MACHINE LEARNING

Cite This Article

"AUDIO-TO-GESTURE TRANSLATION USING MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 11, page no.f32-f37, November-2024, Available :http://www.jetir.org/papers/JETIR2411504.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"AUDIO-TO-GESTURE TRANSLATION USING MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 11, page no. ppf32-f37, November-2024, Available at : http://www.jetir.org/papers/JETIR2411504.pdf

Publication Details

Published Paper ID: JETIR2411504
Registration ID: 551385
Published In: Volume 11 | Issue 11 | Year November-2024
DOI (Digital Object Identifier):
Page No: f32-f37
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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