The implementation of sign language interpreter with modified RNN for speech and hearing impaired
The implementation of sign language interpreter with modified RNN for speech and hearing impaired
T. Jaya,A. Jagadeesh,Uday Chaitanya M,Duttuluru Bharath
Abstract
Communication barriers faced by speech and hearing-impaired individuals often limit their interaction with the broader society. The intelligent sign language interpreter system revolutionizes communication for the speech and hearing-impaired community. Utilizing advanced neural networks, this innovative technology recognizes and translates hand gestures into text or speech in real-time, promoting effortless interactions. With its custom-designed RNN architecture, extensive dataset training, and enhanced preprocessing techniques, this portable and user-friendly solution bridges communication gaps in social and professional settings, empowering individuals to communicate confidently. By breaking down these barriers, the interpreter system unlocks new possibilities for social and economic inclusion. Individuals can now navigate everyday situations with greater ease, from ordering food to participating in meetings. The technology also opens doors to education and employment opportunities, enabling the speech and hearing-impaired community to reach their full potential. With its potential to transform lives, this groundbreaking system is poised to make a lasting impact on the lives of millions worldwide, fostering a more inclusive and equitable society. The system's advanced technology ensures accuracy and reliability, providing a seamless experience for users. Its ability to learn and adapt to different sign language dialects and regional variations enables widespread adoption. Additionally, the system's portability and affordability make it accessible to individuals and organizations worldwide, regardless of geographical or financial constraints.
