6 papers
emg2speech: Synthesizing speech from electromyography using self-supervised speech models
Harshavardhana T. Gowda, Daniel C. Comstock, Lee M. Miller
We present a neuromuscular speech interface that translates electromyographic (EMG) signals recorded from orofacial muscles during speech articulation directly into audio. We find…
Non-invasive electromyographic speech neuroprosthesis: a geometric perspective
Harshavardhana T. Gowda, Lee M. Miller
We present a neuromuscular speech interface that translates silently voiced articulations directly into text. We record surface electromyographic (EMG) signals from multiple articu…
Bias in Surface Electromyography Features across a Demographically Diverse Cohort
Aditi Agrawal, Celine John Philip, Giancarlo K. Sagastume +5
Neuromotor decoding from upper-limb electromyography (sEMG) can enhance human-machine interfaces and offer a more natural means of controlling prosthetic limbs, virtual reality, an…
Geometry of orofacial neuromuscular signals: speech articulation decoding using surface electromyography
Harshavardhana T. Gowda, Zachary D. McNaughton, Lee M. Miller
Objective. In this article, we present data and methods for decoding speech articulations using surface electromyogram (EMG) signals. EMG-based speech neuroprostheses offer a promi…
A database of upper limb surface electromyogram signals from demographically diverse individuals
Harshavardhana T. Gowda, Neha Kaul, Carlos Carrasco +9
Upper limb based neuromuscular interfaces aim to provide a seamless way for humans to interact with technology. Among noninvasive interfaces, surface electromyogram (EMG) signals h…
Topology of surface electromyogram signals: hand gesture decoding on Riemannian manifolds
Harshavardhana T. Gowda, Lee M. Miller
In this article, we present data and methods for decoding hand gestures using surface electromyogram (EMG) signals. EMG-based upper limb interfaces are valuab…