KEYWORD RECOGNITION AND SYSTEM USED IN TEMPLATE CHAIN MODEL

摘要

A system employing a method that detects the occurrence of keywords in continuously-spoken speech evaluates both the keyword hypothesis, and the alternative hypothesis that the observed speech is not a keyword. A general language model is used to evaluate the latter hypothesis. Arbitrary utterances of the language, according to this model, are approximated by concatenations of a set of filler templates. The system allows for automatic detection of the occurrence of keywords in unrestricted natural speech. The system can be trained by a particular speaker, or can function independently of the speaker.