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Computational model decodes speech by predicting it

UNIGE scientists developed a neuro-computer model which helps explain how the brain identifies syllables in natural speech. The model uses the equivalent of neuronal oscillations produced by brain activity to process the continuous sound flow of connected speech. The model functions according to a theory known as predictive coding, whereby the brain optimizes perception by constantly trying to predict the sensory signals based on candidate hypotheses (syllables in this model).
Disclaimer: This story is auto-aggregated by a computer program and has not been created or edited by HFACULTY News. Publisher: Top Health News — ScienceDaily Click this link to read the full content from the Publisher Read More

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