UC Merced Proceedings of the Annual Meeting of the Cognitive Science Society Title Linking Cognitive Tokens to Biological Signals: Dialogue Context Improves Neural Speech Recognizer Performance Linking Cognitive Tokens to Biological Signals: Dialogue Context Improves Neural Speech Recognizer Performance

Richard Veale, Gordon Briggs, Matthias Scheutz, Richard Veale, Gordon Briggs, Matthias Scheutz
2013 Proceedings of the Annual Meeting of the Cognitive Science Society   unpublished
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 exchange
more » ... ly exchange information and mutually influence their processing. Furthermore, the biasing mechanism is grounded in brain mechanisms of perceptual decision making.
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