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by @jimpick.com
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🎉New Paper Alert!🎉 Really excited that this collaboration is finally out! It shows that combining oscillatory dynamics with hierarchical predictive frameworks generates speech perception that is robust to temporal distortions: similarly to human behavior and more so than current ASR models.
8mo
Keith B. Doelling
📢Out now! Olesia Dogonasheva and colleagues from @neurospeech.bsky.social present a predictive model for speech processing in the auditory cortex. www.nature.com/articles/s43... #compneurosky 🔓 rdcu.be/eImit
8mo
This study presents a brain rhythm-based inference model (BRyBI) for speech processing in the auditory cortex. BRyBI shows how rhythmic neural activity enables robust speech processing by dynamically predicting context and elucidates mechanistic principles that allow robust speech parsing in the brain.
Rhythm-based hierarchical predictive computations support acoustic−semantic transformation in speech processing - Nature Computational Science
www.nature.com
Nature Computational Science