Impact Factor (2025): 6.9
DOI Prefix: 10.47001/IRJIET
To
facilitate communication between individuals with hearing impairments and those
without, the use of language translation is necessary. This paper presents the
development of a mobile-based solution to assist the communication between
individuals having hearing impairments and those without. This study is based
in Sri Lanka and the solution is designed to focus on the Sri Lankan Sign
Language (SSL). There are three primary functionalities in this app: receiving
input in English, converting it to a 3D avatar representing Sri Lankan Sign
Language (SSL), and receiving input in Sinhala, converting it to an SSL
picture, and receiving output in text form from Sri Lankan Sign Language. The
Google Speech-to-Text API is used for translating English and Sinhala voices.
The front end of the app was built in Unity and Blender for the Android
platform, while the back end was built in Python using the Flask API,
TensorFlow, and Kera. Artificial neural network (ANN) and Convolutional Neural
Network (CNN) models tailored to the tasks of Natural Language Processing (NLP)
and image processing are used during training.
Country : Sri Lanka
IRJIET, Volume 7, Issue 10, October 2023 pp. 82-88