Elisabeth Fonteneau

This study compares speech recognition representations in artificial neural networks and human brains, finding similarities and using brain data to improve machine models.

The paper demonstrates the feasibility of co-registering eye tracking with combined EEG and MEG to study natural reading by analyzing brain responses to sentence-final words.

This paper compares dynamic brain states during speech comprehension with dynamic machine states in ASR systems, finding correspondence between neural patterns and phonetic models.