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MindVoice: Reconstructing Intelligible Speech from Non-invasive Neural Signals with Pretrained Priors
arXiv:2605.31173v1 Announce Type: new Abstract: Reconstructing continuous speech from non-invasive neural recordings is a fundamental problem for probing human auditory perception and building safe, scalable speech brain-computer interfaces. Despite recent progress, intelligible reconstruction remains elusive, as non-invasive recordings are inherently noisy, spatially blurred, and only partially preserve information about perceived speech. Existing methods directly map neural activity to...