Towards reconstructing intelligible speech from the human auditory cortex
To advance the state-of-the-art in speech neuroprosthesis, we combined the recent advances in deep learning with the latest innovations in speech synthesis technologies to reconstruct closed-set intelligible speech from the human auditory cortex. We investigated the dependence of reconstruction accuracy on linear and nonlinear (deep neural network) regression methods and the acoustic representation that is Read more about Towards reconstructing intelligible speech from the human auditory cortex[…]