AIBullisharXiv – CS AI · 7h ago7/10
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MindVoice: Reconstructing Intelligible Speech from Non-invasive Neural Signals with Pretrained Priors
Researchers introduce MindVoice, a neural decoding framework that reconstructs intelligible speech from non-invasive brain recordings (EEG/MEG) by leveraging pretrained AI models to compensate for signal degradation. The method separates semantic content recovery from acoustic attribute estimation, then fuses these with generative speech models to produce natural utterances, significantly outperforming existing approaches and advancing brain-computer interface technology.