Processed Silent EMG-features
Description
This repository provides the hand-crafted feature representations used in our paper, "Can LLMs Understand Unvoiced Speech? Exploring EMG-to-Text Conversion with LLMs", ACL, 2025. These features are derived from the silent-EMG dataset originally introduced in "Digital Voicing of Silent Speech" (EMNLP 2020, arXiv:2010.02960). The raw dataset can be accessed via Zenodo. For more details on feature extraction and experimental setup, please refer to our paper.
Files
extracted_emg_features-20250530T194147Z-1-001.zip
Files
(109.9 MB)
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md5:d25a1d77438ed68f62aa4e25d11222c8
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Additional details
Additional titles
- Alternative title
- Can LLMs Understand Unvoiced Speech? Exploring EMG-to-Text Conversion with LLMs