AQFormer: severity-aware transformer with aphasia-specific CAM for spoken keyword classification in aphasic speech
Language-driven speech output in individuals with aphasia shows considerable variability, including phonological errors and pauses during word searches. This makes it difficult to use traditional keyword classification systems and further reduces trust in deep neural models, complicating their appli...
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| Główni autorzy: | , |
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| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
Frontiers Media S.A.
2026-05-01
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| Seria: | Frontiers in Artificial Intelligence |
| Hasła przedmiotowe: | |
| Dostęp online: | https://www.frontiersin.org/articles/10.3389/frai.2026.1786757/full |
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