Meta AI Researchers Introduce a Machine Learning Model that Explores Decoding Speech Perception from Non-Invasive Brain Recordings

Deciphering speech from brain activity, a longstanding goal in healthcare and neuroscience, has recently seen progress with invasive devices. Deep-learning algorithms trained on intracranial recordings can decode basic linguistic elements. However, extending this to natural speech and non-invasive brain recordings poses a challenge. Researchers from Meta introduce a machine learning model employing contrastive learning to […]

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