Article

Large Language Models Reveal the Neural Tracking of Linguistic Context in Attended and Unattended Multi-Talker Speech

2025-04-24

Abstract excerpt

Large language models (LLMs) capture long-range contextual structure in natural language and have recently been shown to align with the human brain’s contextualized linguistic encoding. This makes them a promising computational probe for studying how context-dependent linguistic information is represented during natural speech perception. Speech perception often occurs in multi-talker environments, where attention...

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Literature Corpus work: 2132afb2-3ce5-5635-9395-f814d574777e
DOI: 10.1101/2025.04.24.648897

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