International Journal of Computer Techniques Volume 12 Issue 3 | Sign2Text: Bridging communication for Deaf and Non-Speaking Individuals
Sign2Text: Bridging Communication for Deaf and Non-Speaking Individuals
Authors: Deepali Kumari, Ram Kumar Sharma
Abstract
Sign language enables communication for individuals with speech impairments. Our system integrates CNN-RNN deep learning models with HMM-based speech synthesis to convert sign gestures into text and speech, enhancing accessibility.
Keywords
HMM, ASL, BSL, CNN, RNN, Gesture recognition, Deep learning, Text-to-Speech
Conclusion
The proposed system successfully recognizes sign gestures and translates them into speech. Future work includes improving real-time accuracy using Transformer models and refining dataset annotation techniques.
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