NEMAR copy of ds004279
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Large Spanish EEG
A large-scale Spanish EEG dataset comprising 60 sessions from 56 healthy participants recorded using 64-channel EEG during speech perception and silent speech production tasks. Participants listened to and silently repeated 30 daily-use Spanish sentences. This dataset enables development of subject-independent deep neural network models for perceived sentence classification, with applications to speech decoding and neuroprosthetics for individuals with speech disorders.
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Coming soon. Per-file data-quality summaries are precomputed by the NEMAR processing pipeline. The static aggregate is on the way — tracked at nemar-cli#511.