Linking Cognitive Tokens to Biological Signals: Dialogue Context Improves Neural Speech Recognizer Performance

Abstract

This paper presents a hybrid cognitive model engaged in ex- periments demonstrating a successful mechanism for applying top-down contextual bias to a neural speech recognition sys- tem to improve its performance. The hybrid model includes a model of social dialogue moves, which it uses to selectively bias word recognition probabilities at a low level in the neu- ral speech recognition system. The model demonstrates how symbolic and neurologically inspired components can success- fully exchange information and mutually influence their pro- cessing. Furthermore, the biasing mechanism is grounded in brain mechanisms of perceptual decision making.


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