Real-time synthesis of imagined speech processes from minimally invasive recordings of neural activity

Miguel Angrick et al. develop an intracranial EEG-based method to decode imagined speech from a human patient and translate it into audible speech in real-time. This report presents an important proof of concept that acoustic output can be reconstructed on the basis of neural signals, and serves as...

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Autores principales: Miguel Angrick, Maarten C. Ottenhoff, Lorenz Diener, Darius Ivucic, Gabriel Ivucic, Sophocles Goulis, Jeremy Saal, Albert J. Colon, Louis Wagner, Dean J. Krusienski, Pieter L. Kubben, Tanja Schultz, Christian Herff
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/6889a47970bf4c32a7cfd367930fc291
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