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- W1596717265 abstract "Current state-of-the-art speaker-independent continuous speech recognizers are able to achieve word recognition rates well above 90 percent with lexicons of 1000 words or less using grammars with perplexity 60 or less. Performance of these systems decreases rapidly as the perplexity of the grammar increases. As users are allowed more flexibility in interacting with recognition systems, the size of the lexicons and perplexity of the grammars increase greatly. Allowing spontaneous speech instead of read speech, compounds the problems even more. Other sources of knowledge may be available to help constrain the ever more complex search spaces in such systems. When recognition systems are used in performing problem solving tasks, predictable features of the user's behavior can be used to aid recognition. A system (MINDS), which uses additional constraints based on dialog interactions is also described in the chapter. The constraints are applied in a manner that allows optimum performance when users behave predictably, and degrades gracefully when they do not. An evaluation is also presented of the system's performance to show the utility of the additional knowledge sources." @default.
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- W1596717265 date "1996-01-01" @default.
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- W1596717265 title "Towards Habitable Systems" @default.
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