Adaptive Technology System for Hearing-Impaired Individuals Using OpenCV

Author(s)	Bandaru sakthilaya, Sharon Katty Rose, Dr.G.Mahalakshmi
Country	India
Abstract	The Speech-to-Sign Language Translator is an application designed to convert spoken words into translated text, audio output, and sign language representations. Using Python and various libraries, this project captures speech input, translates it into multiple language options, and provides both a textual and audio translation. Additionally, it displays sign language images to visually communicate the translated message to individuals with hearing impairments. The system leverages speech recognition for capturing spoken words, Google Translate API for multi-language support, gTTS for audio output, and a pre-loaded set of sign language images for visual representation.
Keywords	Speech-to-Text, Sign Recognition, Machine Learning, Natural Language Processing, Gesture Detection, Accessibility, Artificial Intelligence.
Field	Engineering
Published In	Volume 16, Issue 1, January-March 2025
Published On	2025-03-28
Cite This	Adaptive Technology System for Hearing-Impaired Individuals Using OpenCV - Bandaru sakthilaya, Sharon Katty Rose, Dr.G.Mahalakshmi - IJSAT Volume 16, Issue 1, January-March 2025. DOI 10.71097/IJSAT.v16.i1.2918
DOI	https://doi.org/10.71097/IJSAT.v16.i1.2918
Short DOI	https://doi.org/g896fk

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