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Enhanced synthesis of passively heard speech from electrocorticography signals using image-to-image spectrogram translation

Speech synthesis from neural signals offers a promising avenue for restoring communication in individuals with speech impairments. Recent deep learning advances have improved decoding of neural activity into intelligible speech, yet further enhancement is required to improve the quality of synthesiz...

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Autori principali: Hongsang Lee, Jihun Hwang, Kyungjun Kim, Gyuwon Lee, Chun Kee Chung, Chang-Hwan Im
Natura: Artigo
Lingua:Inglês
Pubblicazione: Elsevier 2026-03-01
Serie:Machine Learning with Applications
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Accesso online:http://www.sciencedirect.com/science/article/pii/S2666827025001884
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