IJNRD Research Journal

WhatsApp
Click Here

WhatsApp editor@ijnrd.org
IJNRD
INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)

Call For Paper

For Authors

Forms / Download

Published Issue Details

Editorial Board

Other IMP Links

Facts & Figure

Impact Factor : 8.76

Issue per Year : 12

Volume Published : 9

Issue Published : 96

Article Submitted :

Article Published :

Total Authors :

Total Reviewer :

Total Countries :

Indexing Partner

Join RMS/Earn 300

Licence

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Published Paper Details
Paper Title: Recognising and Converting Sign Language into Speech
Authors Name: Vaishnavi Athrey , Dr.Deepashree Devaraj
Download E-Certificate: Download
Author Reg. ID:
IJNRD_201283
Published Paper Id: IJNRD2307387
Published In: Volume 8 Issue 7, July-2023
DOI:
Abstract: This paper presents a comprehensive study on recognizing and converting sign language to speech using machine learning models based on Convolutional Neural Networks (CNNs) with a vision-based approach and the OTSU method. Sign language is a vital means of communication for the deaf community, and bridging the communication gap between the deaf and hearing communities is crucial for inclusivity and accessibility. We propose an innovative approach that combines the power of CNNs, a vision-based approach, and the OTSU method for robust and accurate sign language recognition and translation into spoken language.
Keywords: Machine Learning models, OTSU Methods, Vision-based approach, Convolutional Neural Networks, ReLu, Softmax
Cite Article: "Recognising and Converting Sign Language into Speech", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 7, page no.d759-d767, July-2023, Available :http://www.ijnrd.org/papers/IJNRD2307387.pdf
Downloads: 000118759
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID:IJNRD2307387
Registration ID: 201283
Published In: Volume 8 Issue 7, July-2023
DOI (Digital Object Identifier):
Page No: d759-d767
Country: Bengaluru, Karnataka, India
Research Area: Engineering
Publisher : IJ Publication
Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2307387
Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2307387
Share Article:
Share

Click Here to Download This Article

Article Preview
Click Here to Download This Article

Major Indexing from www.ijnrd.org
Semantic Scholar Microsaoft Academic ORCID Zenodo
Google Scholar ResearcherID Thomson Reuters Mendeley : reference manager Academia.edu
arXiv.org : cornell university library Research Gate CiteSeerX PUBLON
DRJI SSRN Scribd DocStoc

ISSN Details

ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016

DOI (A digital object identifier)


Providing A digital object identifier by DOI
How to Get DOI? DOI

Conference

Open Access License Policy

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Creative Commons License This material is Open Knowledge This material is Open Data This material is Open Content

Important Details

Social Media

Licence

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Join RMS/Earn 300

IJNRD