Decoding Imagined Speech: A Strictly Subject-Independent Approach Using EEG

arXiv:2609.29820 · cs.AI · Submitted 2026-09-24 · Read on arXiv

cs.AI

Submitted: 2026-09-24

Updated: 2026-09-24

Terminology

• Accuracy — 16× in this paper · explained in 1 episode
• Generalization — 7× in this paper · explained in 13 episodes
• Feature Selection — 5× in this paper · explained in 4 episodes
• alpha — 5× in this paper · explained in 1 episode
• Feature Extraction — 3× in this paper · explained in 2 episodes
• Aggregation — 2× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Generalizability — 1× in this paper · explained in 6 episodes
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• Analysis of EEG frequency bands for Envisioned Speech Recognition
• Are EEG-to-Text Models Working?
• A Novel Deep Learning Architecture for Decoding Imagined Speech from EEG

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