N-Gram Based Filler Model for Robust Grammar Authoring


We propose a technique for rapid speech application development that generates robust semantic context-free grammars (CFG) given rigid CFGs as input. Users' speech does not always conform to rigid CFGs, so robust grammars improve the caller's experience. Our system takes a simple CFG and then generates a hybrid n-gram/CFG that is written in the W3C SRGS… (More)
DOI: 10.1109/ICASSP.2006.1660083


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