DeafTawk — AI-Powered Sign Language Interpretation
Real-time ASL interpretation engine with curated animation library, NLP-driven speech processing, and optimised video rendering — reducing communication barriers for the deaf and hard-of-hearing community.
DeafTawk set out to solve a challenge millions face every day: the communication gap between the deaf/hard-of-hearing community and the hearing world. Human interpreters, while valuable, are often unavailable, costly, or delayed — making day-to-day interactions difficult and limiting independence.
To unlock true accessibility, DeafTawk envisioned a solution that could interpret speech into sign language instantly, reliably, and without human bottlenecks.
Human interpreters can't scale — and that's the problem
430 million people globally require hearing-loss rehabilitation and lack accessible real-time communication tools. DeafTawk needed a production-grade AI interpretation engine capable of handling high video call volumes without accuracy degradation.
- ASL has its own grammar and spatial logic — word-for-word text-to-sign translation produces incorrect signs
- The animation library had to be curated for clinical accuracy — rough signs would undermine user trust entirely
- Speech processing, animation mapping, and video rendering had to run in sequence with no perceptible latency
- Privacy-safe design meant no audio or video could be retained server-side after processing
AI-driven sign language interpretation at scale
Built a real-time ASL interpretation engine with a curated animation library, NLP-driven speech processing pipeline, and optimised video rendering — reducing latency and communication barriers at scale. API embedded into B2B platforms.
- A curated ASL animation library
- Word-to-sign translation mapping
- NLP-driven speech and text processing
- Real-time animation synthesis
- Video rendering optimized for clarity and speed
As users speak, the system processes audio, interprets intent, and transforms text into accurate ASL animations — all within seconds. This removes reliance on human interpreters and ensures consistent access to communication support.
The implementation delivered measurable outcomes:
The new interpretation platform brings accessibility directly into users' hands, supporting them in everyday interactions — from classrooms and workplaces to customer service and personal conversations. Users report:
50% increase in successful video calls
50% reduction in feelings of isolation and communication frustration
20% improvement in accessibility
Related Work
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