Interpretable Brain-computer Interface for Emotion-aware Thought-to-speech using Eeg Signal Decoding
This study contributes to the advancement of trustworthy, next-generation brain–computer interfaces and provides a practical basis for assistive communication tools serving individuals with paralysis, amyotrophic lateral sclerosis, locked-in syndrome, and other conditions that disrupt natural speech.