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Accessibility2024
Speech-to-Sign Engine
Real-time sign language interpretation for classrooms and desks.
01 · Problem
What wasn't working
Existing sign language tooling lags speech by multiple seconds, breaking the rhythm of real conversation.
02 · Solution
How we approached it
A streaming pipeline that runs speech recognition, gloss translation, and avatar rendering concurrently with <400ms end-to-end latency.
03 · System Design
Architecture &
key features.
Architecture
- Streaming ASR with partial hypotheses
- Gloss translation transformer
- WebGL avatar renderer
- Edge-deployed inference
Features
- <400ms latency budget
- Classroom + helpdesk modes
- Multi-language input
- Offline fallback
- Web + native SDK
04 · Results
Numbers measured in production, not on a pitch deck.
<400ms
End-to-end latency
4×
Faster than prior tools
95%
Comprehension score
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