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The Semantic Bottleneck: Leveraging Semantic Representations for Non-Invasive Speech Decoding

Landau, Gilad D. et al.
arXiv (All) · Papers
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computation-and-languagemachine-learning
Non-invasive speech decoding remains constrained by the low signal-to-noise ratio of neural recordings, which makes fine-grained reconstruction of phonemes or individual words difficult. Motivated by neuroscientific evidence that high-level semantic representations are distributed across cortical re
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