This study presents a valuable advance in reconstructing naturalistic speech from intracranial ECoG data using a dual-pathway model. The evidence supporting the claims of the authors is solid, ...
Abstract: Large language models are transforming industries but face challenges due to their high computational and energy demands. Model compression via quantization mitigates these barriers by ...
Morning Overview on MSN
AI uncovers new clues to how the brain decodes speech
Artificial intelligence is starting to do more than transcribe what we say. By learning to read the brain’s own electrical ...
Recently we have developed a novel type of structure-based speech recognizer, which uses parameterized, non-recursive ??hidden?? trajectory model of vocal tract resonances (VTR) or formants to capture ...
Abstract: A brain-computer interface (BCI) that decodes speech directly from neural activity provides a rapid and natural means of communication for individuals with speech impairments or aphasia.
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