Observed arrival · 2026-09-12
SignBridge, a Conversation Translator with an Actual Signing Layer
An accessibility project that presents speech as captions and ASL fingerspelling, while choosing a communication mode based on the surrounding conditions.
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The project describes a multi-stage communication flow: live voice recognition produces captions, known words are paired with videos of a real signer, and unavailable vocabulary falls back to fingerspelling. Its proposed mode selector considers environmental conditions including noise, speaker count, and speaking speed. The site also includes Learn ASL and Awareness sections, while identifying the work as an ML final project.
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