# Non-invasive electromyographic speech neuroprosthesis: a geometric perspective

arXiv: https://arxiv.org/abs/2502.05762 · HTML: https://mlsanity.com/paper/2502.05762/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 9 Feb 2025.

## Built on by (most cited first, 1 of 1)

- [Myovox: Reading Speech from the Muscles of the Face](https://mlsanity.com/paper/2609.17548/) (2026)

## Abstract (arXiv)

We present a neuromuscular speech interface that translates silently voiced articulations directly into text. We record surface electromyographic (EMG) signals from multiple articulatory sites on the face and neck as participants silently articulate speech, enabling direct EMG-to-text translation. Such an interface has the potential to restore communication for individuals who have lost the ability to produce intelligible speech due to laryngectomy, neuromuscular disease, stroke, or trauma-induced damage (e.g., radiotherapy toxicity) to the speech articulators. Prior work has largely focused on mapping EMG collected during audible articulation to time-aligned audio targets or transferring these targets to silent EMG recordings, which inherently requires audio and limits applicability to patients who can no longer speak. In contrast, we propose an efficient representation of high-dimensional EMG signals and demonstrate direct sequence-to-sequence EMG-to-text conversion at the phonemic level without relying on time-aligned audio.