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Proceedings of the Annual Meeting of the Cognitive Science Society
This paper presents a hybrid cognitive model engaged in experiments demonstrating a successful mechanism for applying top-down contextual bias to a neural speech recognition system 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 successfully exchangefatcat:lf4toscwkbcspf4olbj7cfiaby