UPDF AI

Voice of Hearing and Speech Impaired People

Sadaf Manzoor,Zakawat Abbas,4 Authors,Inam Ullah Khan

2024 · DOI: 10.1109/IC3SE62002.2024.10593248
5 Citations

Abstract

Sign language serves as a vital medium of communication for individuals who are hearing and speech impaired, yet the communication gap between this community and the general public persists due to limited understanding of sign language. In response, this research introduces a comprehensive application aimed at fostering inclusive communication. The proposed application leverages advanced technologies, including deep learning and computer vision, to translate sign language gestures into written text and spoken language, and vice versa. Key objectives encompass accurate translation, user-friendly interface design, and promotion of inclusivity. Drawing from a review of related literature, methodologies integrate data collection, preprocessing, feature extraction, and classification, utilizing Convolutional Neural Networks (CNNs) and natural language processing techniques. Notably, a significant aspect of this project lies in the collection of extensive datasets for American Sign Language (ASL) and Pakistan Sign Language (PSL), contributing to higher accuracy and reliability. The application facilitates cross-modal communication, enabling real-time translation of sign language to text/voice and vice versa for both ASL and PSL. An Android application is developed using React Native to extend accessibility to mobile platforms. Applications span educational accessibility, customer support enhancement, medical communication facilitation, governmental accessibility, and broader societal inclusivity. Future enhancements include incorporating additional sign languages, improving context comprehension, integrating assistive technologies, enhancing learning experiences, and expanding social integration. Ultimately, this project contributes to bridging the communication gap between hearing and non-hearing individuals, promoting inclusivity and accessibility in diverse contexts.. The uniqueness of this study revolutionizes communication for hearing and speech impaired people, enabling them to engage with the world more comprehensively and efficiently.