Great paper: Akbari and colleagues reconstruct spoken digits from neural recordings, intelligible with 75% accuracy. They use a DNN to parameterize a vocoder from iEEG signals. Better: the networks were trained on stories (not digits), different speakers. nature.com/articles/s4159
