AI RESEARCH
Brain-to-Speech: Prosody Feature Engineering and Transformer-Based Reconstruction
arXiv CS.LG
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ArXi:2604.05751v1 Announce Type: cross This chapter presents a novel approach to brain-to-speech (BTS) synthesis from intracranial electroencephalography (iEEG) data, emphasizing prosody-aware feature engineering and advanced transformer-based models for high-fidelity speech reconstruction. Driven by the increasing interest in decoding speech directly from brain activity, this work integrates neuroscience, artificial intelligence, and signal processing to generate accurate and natural speech. We.