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Decoding speech perception from non-invasive brain recordings

Linguistics and Languages

Decoding speech perception from non-invasive brain recordings

A. Défossez, C. Caucheteux, et al.

This innovative research by Alexandre Défossez, Charlotte Caucheteux, Jérémy Rapin, Ori Kabeli, and Jean-Rémi King unveils a cutting-edge contrastive learning model that decodes speech perception with remarkable accuracy from non-invasive MEG and EEG recordings. With up to 41% accuracy and 80% in the best cases, this study promises a revolutionary approach to understanding language processing.

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