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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Podrobná bibliografie

Hlavní autoři:	Hongsang Lee, Jihun Hwang, Kyungjun Kim, Gyuwon Lee, Chun Kee Chung, Chang-Hwan Im
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Elsevier 2026-03-01
Edice:	Machine Learning with Applications
Témata:	Speech synthesis Brain-computer interface (BCI) Electrocorticography (ECoG) Deep learning Image-to-image translation
On-line přístup:	http://www.sciencedirect.com/science/article/pii/S2666827025001884
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