Deep learning in auditory attention decoding: A systematic review
Auditory attention decoding (AAD) utilizes electroencephalography (EEG) to detect an individual's attentional focus in noisy, multi-speaker environments, serving as a cornerstone for next-generation neuro-steered hearing aids. Although deep learning has recently surpassed traditional linear models i...
Gorde:
| Egile Nagusiak: | , , |
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| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
Taylor & Francis Group
2026-12-01
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| Saila: | Systems Science & Control Engineering |
| Gaiak: | |
| Sarrera elektronikoa: | https://www.tandfonline.com/doi/10.1080/21642583.2026.2640250 |
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