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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| Autors principals: | , , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Elsevier
2026-03-01
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| Col·lecció: | Machine Learning with Applications |
| Matèries: | |
| Accés en línia: | http://www.sciencedirect.com/science/article/pii/S2666827025001884 |
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