ISCA Archive Eurospeech 1999
ISCA Archive Eurospeech 1999

Use of a confidence measure based on frame level likelihood ratios for the rejection of incorrect data

Nicolas Moreau, Denis Jouvet

Interactive vocal services are based on speech recognition systems which must be able to reject efficiently incorrect utterances such as out-of-vocabulary or noise tokens. A possible approach is a post-processing of the hypotheses delivered by the recogniser, based on the computation of a confidence measure (CM). A recognition hypothesis is rejected if its CM is below a chosen threshold. This paper presents a new way of computing a CM on a recognition hypothesis, based on the calculation of a likelihood ratio for each acoustic frame of the utterance. Promising results are reported on a large vocabulary of a telephone directory task. Significant falls in the error rates are observed, compared to a reference system which include a garbage model, with no post-processing of the recognised words.


doi: 10.21437/Eurospeech.1999-76

Cite as: Moreau, N., Jouvet, D. (1999) Use of a confidence measure based on frame level likelihood ratios for the rejection of incorrect data. Proc. 6th European Conference on Speech Communication and Technology (Eurospeech 1999), 291-294, doi: 10.21437/Eurospeech.1999-76

@inproceedings{moreau99_eurospeech,
  author={Nicolas Moreau and Denis Jouvet},
  title={{Use of a confidence measure based on frame level likelihood ratios for the rejection of incorrect data}},
  year=1999,
  booktitle={Proc. 6th European Conference on Speech Communication and Technology (Eurospeech 1999)},
  pages={291--294},
  doi={10.21437/Eurospeech.1999-76}
}