Signum Verbum: 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 · Why Existing Approaches Fall Short
The gap in current tooling
Current solutions often run sequential translation pipelines that introduce unacceptable latency for real-time human interaction.
03 · Solution
How we approached it
A streaming pipeline that runs speech recognition, gloss translation, and avatar rendering concurrently.
04 · System Design
Architecture &
key features.
Architecture
- Streaming ASR with partial hypotheses
- Gloss translation transformer
- WebGL avatar renderer
- Edge-deployed inference
Features
- Low-latency architecture
- Classroom + helpdesk modes
- Multi-language input
- Offline fallback capabilities
Evidence
Measured and verified impact.
Supported
NAIN 2.0 Ecosystem
Runner-up
NAIN Innovation Conclave
05 · What we learned
Lessons from production
Latency is the primary driver of adoption in assistive tech; perfect translation that arrives three seconds late is often less useful than good translation that arrives instantly.
06 · What's next
Where the system goes
Expanding the gloss vocabulary for specialized technical domains.
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