Echosign Interpreter Using Artificial Intelligence and Natural Language Processing
Year: 2025
Type: article
Abstract: Communication barriers between the hearing-impaired and the general population present significant challengesin daily interactions. Sign language serves as a primary mode of communication for the deaf community, but noteveryone is proficient in it. This project aims to develop a Speech-to-Sign Language Translator, an AI-drivensystem that converts spoken language into sign language gestures in real-time. The system utilizes speechrecognition technologies such as Google Speech-to Text API or Mozilla DeepSpeech to transcribe spoken wordsinto text. The text is then mapped to corresponding sign language gestures using machine learning models andcomputer vision. Pre-recorded sign language videos or a 3D animated avatar will display the translated signs,ensuring accessibility for deaf and hard-of-hearing individuals
Authors: Mr Obulesu,, Vignan Smith, Sriniketh Guptha, Nathan Babu
Language: English
Subfield: Human-Computer Interaction
Field: Computer Science
Domain: Physical Sciences
SDG: Reduced inequalities
Open Access status: hybrid
OpenAlex ID: W6912289597
FWCI:
Cites:
Cited by:
Related to: