Introducing MEG-MASC a high-quality magneto-encephalography dataset for evaluating natural speech processing

Abstract The “MEG-MASC” dataset provides a curated set of raw magnetoencephalography (MEG) recordings of 27 English speakers who listened to two hours of naturalistic stories. Each participant performed two identical sessions, involving listening to four fictional stories from the Manually Annotated...

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Bibliographic Details
Main Authors: Laura Gwilliams, Graham Flick, Alec Marantz, Liina Pylkkänen, David Poeppel, Jean-Rémi King
Format: Article
Language:English
Published: Nature Portfolio 2023-12-01
Series:Scientific Data
Online Access:https://doi.org/10.1038/s41597-023-02752-5