Tim Paek, Sudeep Gandhe, David Chickering, and Yun-Cheng ju
In command and control (C&C) speech interaction, users interact by speaking commands or asking questions typically specified in a context-free grammar (CFG). Unfortunately, users often produce out-ofgrammar (OOG) commands, which can result in misunderstanding or nonunderstanding. We explore a simple approach to handling OOG commands that involves generating a backoff grammar from any CFG using filler models, and utilizing that grammar for recognition whenever the CFG fails. Working within the memory footprint requirements of a mobile C&C product, applying the approach yielded a 35% relative reduction in semantic error rate for OOG commands. It also improved partial recognitions for enabling clarification dialogue.
|Publisher||Association for Computational Linguistics|
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