Utterance verification based on dynamic garbage evaluation approach

Keyword spotting and utterance verification is widely used in dialog systems. The capability to deal with words out of a vocabulary is an important factor to evaluate a dialog system. This paper presents the dynamic garbage evaluation approach, which evaluates the confidence of the utterance in speech recognition with strong flexibility. The combination of the dynamic garbage evaluation approach and antikeyword models solves the problem of lack of flexibility of the explicit garbage models and the verification capability of on-line garbage modeling