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Adaptive Technology System for Hearing-Impaired Individuals Using OpenCV

Year: 2025

Type: article

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.

Source: International Journal on Science and Technology

DOI: 10.71097/ijsat.v16.i1.2918

Authors: Bandaru sakthilaya -, Sharon Katty Rose -, Dr.G.Mahalakshmi -

Language: English

Topic: Hand Gesture Recognition Systems

Subfield: Human-Computer Interaction

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W4408943327

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