activity
20192026
most citedCDLNet: Noise-Adaptive Convolutional Dictionary Learning Network for Blind Denoising and Demosaicing

33 citations · 63 across the 8 of their papers we have counts for

collaborators
Showing cs.SDShow all

1 paper · 1 filter

cs.SD2026

Comparison of sEMG Encoding Accuracy Across Speech Modes Using Articulatory and Phoneme Features

Chenqian Le, Ruisi Li, Beatrice Fumagalli +6

We test whether Speech Articulatory Coding (SPARC) features can linearly predict surface electromyography (sEMG) envelopes across aloud, mimed, and subvocal speech in twenty-four s…