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Neural signals, machine learning, and the future of inner speech recognition

Inner speech recognition (ISR) is an emerging field with significant potential for applications in brain-computer interfaces (BCIs) and assistive technologies. This review focuses on the critical role of machine learning (ML) in decoding inner speech, exploring how various ML techniques improve the...

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Principais autores: Adiba Tabassum Chowdhury, Ahmed Hassanein, Aous N. Al Shibli, Youssuf Khanafer, Mohannad Natheef AbuHaweeleh, Shona Pedersen, Muhammad E. H. Chowdhury
Formato: Artigo
Idioma:Inglês
Publicado em: Frontiers Media S.A. 2025-07-01
Colecção:Frontiers in Human Neuroscience
Assuntos:
inner speech recognition
inner overt speech
machine learning
deep learning
speech decoding
waves to words
Acesso em linha:https://www.frontiersin.org/articles/10.3389/fnhum.2025.1637174/full
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