Vol. 2 No. 07 (2025): Inclusive Sign Language to Text and Speech Conversion via Multi-Dataset Integration

Abstract

This project aims to develop an advanced system for Sign Language to Text and Speech Conversion by leveraging the power of multi-dataset integration. The primary objective is to enhance the accuracy and inclusivity of existing sign language conversion systems by incorporating diverse datasets.

The project involves the integration of various sign language datasets, encompassing different signing styles, regional variations, and expressions. This approach ensures a comprehensive understanding of sign language, enabling the system to accurately translate a wide range of signs and gestures into written text and spoken words.

By adopting a multi-dataset integration strategy, the system becomes more adaptable and inclusive, catering to the diverse needs of the signing community. The project addresses the limitations of traditional systems by providing a more robust and versatile solution for sign language users.

Through the implementation of this innovative approach, the project aims to contribute to the advancement of communication accessibility for individuals who rely on sign language as their primary mode of expression. The outcomes of this research have the potential to positively impact the field of assistive technology, fostering better communication and understanding for the deaf and hard-of-hearing community.

Index terms

Sign language, Text and speech conversion, multi-dataset integration, Accuracy enhancement, Inclusivity, Signing styles, regional variations, Expressions, Adaptability, Communication accessibility, Assistive technology, Deaf and hard-of-hearing community, Communication technology, Translation systems, Gesture recognition, Accessibility technology, Assistive devices, Language processing, Communication aids, Technological innovation.