MindVoice disentangles neural-to-speech reconstruction into semantic and acoustic pathways using pretrained priors, then fuses them with speech generation models to produce intelligible output from non-invasive recordings.
The 2025 pnpl competition: Speech detection and phoneme classification in the libribrain dataset.arXiv preprint arXiv:2506.10165, 2025
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Retrieval from an external audio library via contrastive MEG-to-audio matching yields top-ranked speech detection performance without direct brain-to-waveform reconstruction.
citing papers explorer
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MindVoice: Reconstructing Intelligible Speech from Non-invasive Neural Signals with Pretrained Priors
MindVoice disentangles neural-to-speech reconstruction into semantic and acoustic pathways using pretrained priors, then fuses them with speech generation models to produce intelligible output from non-invasive recordings.
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Bypassing Direct Reconstruction: Speech Detection from MEG via Large-Scale Audio Retrieval
Retrieval from an external audio library via contrastive MEG-to-audio matching yields top-ranked speech detection performance without direct brain-to-waveform reconstruction.