Effect of task complexity on search strategies for the motorola lexicus continuous speech recognition system
نویسنده
چکیده
As speech recognition systems are increasingly applied to real world problems, it is often desirable to use the same recognition engine for a variety of tasks of differing complexity. For example the recognizer in a dictation system may need to handle a highly constrained correction grammar, as well as a large vocabulary dictation trigram. This paper explores the relationship between the complexity of the recognition task and the best strategies for pruning the recognition search space.
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تاریخ انتشار 1998