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Utterance classification confidence in automatic speech recognition

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2 Author(s)
R. Kimball ; Xerox Corporation, Palo Alto, CA. ; M. Rothkopf

A variety of automatic speech recognition experiments have been executed that support a measure of confidence for utterance classification. The confidence measure tested was the ratio of the two best "Hamming distance" scores obtained in matching utterance templates with an unknown utterance. The results show that it is possible to reliably predict when the utterance classifier has made the correct decision.

Published in:

IEEE Transactions on Acoustics, Speech, and Signal Processing  (Volume:24 ,  Issue: 2 )