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title: Silent speech with ultrasound — Aleph | daily.dev
description: A team trained a model to decode speech from ultrasound video of the tongue during silent articulation, achieving a 15.6% word error rate on open-vocabulary...
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# Silent speech with ultrasound — Aleph

**[Hacker News](https://daily.dev/sources/hn)** · 7 min read · 0 upvotes · 0 comments

## Summary

A team trained a model to decode speech from ultrasound video of the tongue during silent articulation, achieving a 15.6% word error rate on open-vocabulary speech — approaching lip-reading benchmarks despite using only 50 hours of training data collected over one month. The system uses a ResNet-18 2+1d video encoder aligned to Whisper's embedding space, enabling the Whisper decoder to transcribe tongue movements into text. Notably, the model generalizes to new speakers without retraining. Data was collected using vocalized speech (to enable audio quality checks) with the assumption that tongue movements transfer to silent speech. The two main remaining hardware challenges are miniaturizing the ultrasound probe and replacing gel coupling with hydrogel for practical wearable use.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://alephneuro.com/blog/silent-speech>

## Similar posts on daily.dev

- [Speak Silently With An Ultrasound Probe](https://daily.dev/posts/speak-silently-with-an-ultrasound-probe-0ljfgetz8) · Hackaday · 0 upvotes · 0 comments

---

Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#computer-vision](https://daily.dev/tags/computer-vision), [#speech-recognition](https://daily.dev/tags/speech-recognition), [#human-computer-interaction](https://daily.dev/tags/human-computer-interaction), [#whisper](https://daily.dev/tags/whisper)

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