Papers by Harshavardhana T Gowda
Non-invasive electromyographic speech neuroprosthesis: a geometric perspective (2026.findings-acl)
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| Challenge: | Existing methods for mapping EMG to time-aligned audio limits applicability to patients who can no longer speak. |
| Approach: | They propose a neuromuscular speech interface that translates silently voiced articulations directly into text. |
| Outcome: | The proposed interface can translate silently voiced articulations directly into text without audio transfer . the proposed system could restore communication for patients with speech loss . |
emg2speech: synthesizing speech from electromyography using self-supervised speech models (2026.acl-long)
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| Challenge: | a neuromuscular speech interface translates electromyographic (EMG) signals recorded from orofacial muscles during speech articulation directly into audio. |
| Approach: | They propose a neuromuscular speech interface that translates electromyographic (EMG) signals recorded from orofacial muscles during speech articulation directly into audio. |
| Outcome: | The proposed system synthesizes speech without explicit modeling or vocoder training. |