Context-aware Speech Recognition in a Robot Navigation Scenario
نویسنده
چکیده
Automatic speech recognition lacks the ability to integrate contextual knowledge into its optimization process – a resource that human speech perception makes extensive use of. We discuss shortcomings of current approaches to solve this problem, formalize the problem of context-aware speech recognition and understanding and introduce a robot navigation game that can be used to demonstrate and evaluate the impact of context on speech processing.
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تاریخ انتشار 2011