Scaling Law in Neural Data: Non-Invasive Speech Decoding with 175 Hours of EEG Data

Fuente: arXiv

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Bibliographic Details
Main Authors:	Sato, Motoshige, Tomeoka, Kenichi, Horiguchi, Ilya, Arulkumaran, Kai, Kanai, Ryota, Sasai, Shuntaro
Format:	Preprint
Published:	2024
Subjects:	Neurons and Cognition Human-Computer Interaction Sound Audio and Speech Processing
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2407.07595