CFP last date
20 March 2024
Reseach Article

MotionScript: Sign Language to Voice Converter

by Nidhi Kadam, Chaitanya Kakade, Vishal Kaira
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 186 - Number 6
Year of Publication: 2024
Authors: Nidhi Kadam, Chaitanya Kakade, Vishal Kaira

Nidhi Kadam, Chaitanya Kakade, Vishal Kaira . MotionScript: Sign Language to Voice Converter. International Journal of Computer Applications. 186, 6 ( Jan 2024), 20-26. DOI=10.5120/ijca2024923399

@article{ 10.5120/ijca2024923399,
author = { Nidhi Kadam, Chaitanya Kakade, Vishal Kaira },
title = { MotionScript: Sign Language to Voice Converter },
journal = { International Journal of Computer Applications },
issue_date = { Jan 2024 },
volume = { 186 },
number = { 6 },
month = { Jan },
year = { 2024 },
issn = { 0975-8887 },
pages = { 20-26 },
numpages = {9},
url = { },
doi = { 10.5120/ijca2024923399 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-07T01:29:54.062471+05:30
%A Nidhi Kadam
%A Chaitanya Kakade
%A Vishal Kaira
%T MotionScript: Sign Language to Voice Converter
%J International Journal of Computer Applications
%@ 0975-8887
%V 186
%N 6
%P 20-26
%D 2024
%I Foundation of Computer Science (FCS), NY, USA

Sign language serves as a vital mode of communication for the deaf and mute community, yet it presents a significant barrier in their interaction with the larger society, which often lacks proficiency in sign language. This paper presents MotionScript, an innovative sign language to voice conversion system that leverages computer vision, deep learning, Convolutional Neural Networks (CNN), Natural Language Processing (NLP) and Large Language Model (LLM) to facilitate interaction between individuals from the deaf and mute community and the rest of the world. This paper outlines a thorough comparison of four distinct neural network models, utilizing metrics to identify the most accurate model for transforming American Sign Language (ASL) into coherent and meaningful sentences voiced in natural language. This conversion process incorporates essential components such as autocorrection and the integration of a large language model.

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Index Terms

Computer Science
Information Sciences


American Sign Language (ASL) Convolutional Neural Network (CNN) Google Text-To-Speech (gTTS) Large Language Model (LLM) Long Short-Term Memory Machine Learning Natural Language Processing (NLP) Real-time Conversion Recurrent Neural Networks (RNN) Residual Networks (ResNet) Stochastic Gradient Descent (SGD) Visual Geometry Group (VGG16).