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Ao-Ke Zhang

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#artificial intelligence Preprint Sep 2026

Subject-Invariant Cross-Modal Decoding of Perceived Speech from Brain Recordings

Perceived speech decoding based on non-invasive brain-computer interface (BCI) signals has been extensively studied in recent years. Research in this field primarily faces two challenges: extracting neural representations with rich spatiotemporal information and achieving cross-subject generalization. Although separate...

Ao-Ke Zhang, Jing Chen · 0 citations

Preprint Aug 2026

Cross-Subject Generalization in Decoding Perceived Speech from Non-Invasive Brain Recordings

Decoding perceived speech from non-invasive brain recordings has garnered significant attention in recent years due to its wide range of potential applications. However, existing methods face considerable challenges in cross-subject decoding, primarily due to limited generalizability and the absence of explicit mechani...

Ao-Ke Zhang, Bo Wang, Xihong Wu et al. · 1 citation · ⚡1