A comparative study on performance of SVM and CNN in Tanzania sign language translation using image recognition

K Myagila, H Kilavo - Applied Artificial Intelligence, 2022 - Taylor & Francis
Sign language is an effective form of communication for speech impaired people. However,
there is a challenge for people without impairment to communicate with speech impaired …

An automatic machine translation system for multi-lingual speech to Indian sign language

AS Dhanjal, W Singh - multimedia Tools and Applications, 2022 - Springer
Sign language (SL) is the best suited communication medium for hearing impaired people.
Even with the advancement of technology, there is a communication gap between the …

[PDF][PDF] A robust model for translating arabic sign language into spoken arabic using deep learning

KMO Nahar, A Almomani, N Shatnawi… - Intell Autom Soft …, 2023 - researchgate.net
This study presents a novel and innovative approach to automatically translating Arabic Sign
Language (ATSL) into spoken Arabic. The proposed solution utilizes a deep learning-based …

Intelligent Malaysian Sign Language Translation System Using Convolutional‐Based Attention Module with Residual Network

RU Khan, H Khattak, WS Wong… - Computational …, 2021 - Wiley Online Library
The deaf‐mutes population always feels helpless when they are not understood by others
and vice versa. This is a big humanitarian problem and needs localised solution. To solve …

[PDF][PDF] Developing a prototype to translate pakistan sign language into text and speech while using convolutional neural networking

M Naseem, S Sarafraz, A Abbas… - Journal of Education …, 2019 - pdfs.semanticscholar.org
The purpose of the study is to provide a literature review of the work done on sign language
in Pakistan and the world. This study also provides a framework of an already developed …

[PDF][PDF] Sign language interpreter using image processing and machine learning

O Vedak, P Zavre, A Todkar, M Patil - International Research Journal …, 2019 - academia.edu
Speech impairment is a disability which affects one's ability to speak and hear. Such
individuals use sign language to communicate with other people. Although it is an effective …

[PDF][PDF] Sign language semantic translation system using ontology and deep learning

EK Elsayed, DR Fathy - … Journal of Advanced Computer Science and …, 2020 - academia.edu
Translation and understanding sign language may be difficult for some. Therefore, this
paper proposes a solution to this problem by providing an Arabic sign language translation …

A novel natural language processing (NLP)–based machine translation model for English to Pakistan sign language translation

NS Khan, A Abid, K Abid - Cognitive Computation, 2020 - Springer
Abstract Background/Introduction The deaf community in the world uses a gesture-based
language, generally known as sign language. Every country has a different sign language; …

[PDF][PDF] Optimised Machine Learning-based Translation of Indian Sign Language to Text.

S Sabharwal, P Singla - International Journal of Intelligent Engineering & …, 2023 - inass.org
Sign language translation through deep learning is a popular topic among researchers
nowadays. It opens the doors of communication for deaf and mute people by translating sign …

[PDF][PDF] Improving American sign language recognition with synthetic data

J Kim, P O'Neill-Brown - Proceedings of Machine Translation …, 2019 - aclanthology.org
There is a need for real-time communication between the deaf and hearing without the aid of
an interpreter. Developing a machine translation (MT) system between sign and spoken …