CORDIS Project
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This project investigates how context influences the prediction of spoken words during speech recognition. By using advanced brain imaging techniques, it aims to understand the timing and nature of predictions that enhance word identification and processing efficiency, which could improve artificial speech recognition…
The ability to recognise spoken words relies on extracting phonological features from the acoustic input that distinguish a word from its cohort competitors.
Neuronal circuits were suggested to use context to predict and pre-activate specific speech features.
Bottom-up feature recognition is enabled by phase and amplitude coupling between cortical oscillations and acoustic signals and this process is facilitated by top-down predictive processing.
Predictions may be critical for the speed, accura…
BCBL BASQUE CENTER ON COGNITION BRAIN AND LANGUAGE
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