Imagined speech can be decoded from low- and cross-frequency features in perceptual space
Timothée Proix, Jaime F. Delgado Saa, Andy Christen, Stéphanie Martin, Brian N. Pasley, Robert Thomas Knight, Xing Tian, David Poeppel, Werner Doyle, Orrin Devinsky, Luc H. Arnal, Pierre Mégevand, Anne‐Lise Giraud
The paper decodes imagined speech using low- and cross-frequency neural features from electrocorticography data, showing their effectiveness in perceptual speech spaces.
bioRxiv · Jan 26, 2021 · PreprintNeuroscience