NeuroSonic introduces a conditional flow-matching framework that learns a deterministic transport from noise to speech conditioned on EEG, reporting up to 26.3% gains in perceptual quality over GAN, diffusion, and mean-flow baselines on cross-subject CineBrain and EAV evaluations.
arXiv preprint arXiv:2106.02182 (2021)
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
NeuroSonic: Conditional Flow Matching for EEG-to-Speech Reconstruction
NeuroSonic introduces a conditional flow-matching framework that learns a deterministic transport from noise to speech conditioned on EEG, reporting up to 26.3% gains in perceptual quality over GAN, diffusion, and mean-flow baselines on cross-subject CineBrain and EAV evaluations.