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20202026
most citedExtracting Different Levels of Speech Information from EEG Using an LSTM-Based Model

1 citations · 2 across the 4 of their papers we have counts for

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eess.AS2021★ 1 cited

Extracting Different Levels of Speech Information from EEG Using an LSTM-Based Model

Mohammad Jalilpour Monesi, Bernd Accou, Tom Francart +1

Decoding the speech signal that a person is listening to from the human brain via electroencephalography (EEG) can help us understand how our auditory system works. Linear models h…

eess.AS2021

Predicting speech intelligibility from EEG in a non-linear classification paradigm

Bernd Accou, Mohammad Jalilpour Monesi, Hugo Van hamme +1

Objective: Currently, only behavioral speech understanding tests are available, which require active participation of the person being tested. As this is infeasible for certain pop…