A phone-dependent confidence measure for utterance rejection
- 23 December 2002
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 1 (15206149) , 515-517
- https://doi.org/10.1109/icassp.1996.541146
Abstract
An acoustic confidence measure for acceptance/rejection of recognition hypotheses for continuous speech utterances is proposed. This measure is useful for rejecting utterances that are out of domain, or contain out-of-vocabulary words or speech disfluencies. A phone-based approach is implemented so that a single global threshold can be applied to hypothesis rejection for any word sequence. Phone confidence is computed for each frame of speech as the posterior phone probability given the acoustic observation. Word sequence confidence is evaluated as the average phone confidence, either by weighting all frames equally or by normalizing by phone duration. The confidence measure is tested on a database of spoken company names. When normalized by phone duration, it achieves, in some cases with less computational expense, rejection performance comparable to a baseline system implementing a common filler-model approach. When all frames are equally weighted, performance is substantially poorer.Keywords
This publication has 8 references indexed in Scilit:
- Continuous hidden Markov modeling for speaker-independent word spottingPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Optimizing recognition and rejection performance in wordspotting systemsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Detecting misrecognitions and out-of-vocabulary wordsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- A hidden Markov model based keyword recognition systemPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Robust utterance verification for connected digits recognitionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- LVCSR log-likelihood ratio scoring for keyword spottingPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- A segmental speech model with applications to word spottingPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1993
- Discriminant wordspotting techniques for rejecting non-vocabulary utterances in unconstrained speechPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1992