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Dataset Description:
Dataset of 49 human EEG participants (33 actually usable). Participants listened to the first chapter of Alice in Wonderland. Dataset further used in a paper by Meta AI/Inria Saclay in the paper "Decoding speech from non-invasive brain recordings" to transduce speech from brain recordings.
Would ideally be placed underneath the Dryad-Speech dataset in the ERP section as they have been used together for similar purposes and cover similar research aims.
The text was updated successfully, but these errors were encountered:
Dataset Description:
Dataset of 49 human EEG participants (33 actually usable). Participants listened to the first chapter of Alice in Wonderland. Dataset further used in a paper by Meta AI/Inria Saclay in the paper "Decoding speech from non-invasive brain recordings" to transduce speech from brain recordings.
Original Paper:
Hierarchical structure guides rapid linguistic predictions during naturalistic listening
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6334990/
Dataset:
EEG Datasets for Naturalistic Listening to "Alice in Wonderland"
https://deepblue.lib.umich.edu/data/concern/data_sets/bg257f92t#items_display
Would ideally be placed underneath the Dryad-Speech dataset in the ERP section as they have been used together for similar purposes and cover similar research aims.
The text was updated successfully, but these errors were encountered: