Brain2Char translates ECoG brain recordings into text using a combination of inception networks, recurrent layers, CTC loss, and language-model beam search, reaching 7.0 to 10.6 percent word error.
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Brain2Char: A Deep Architecture for Decoding Text from Brain Recordings
Brain2Char translates ECoG brain recordings into text using a combination of inception networks, recurrent layers, CTC loss, and language-model beam search, reaching 7.0 to 10.6 percent word error.