ISCA Archive Interspeech 2009
ISCA Archive Interspeech 2009

Term-dependent confidence for out-of-vocabulary term detection

Dong Wang, Simon King, Joe Frankel, Peter Bell

Within a spoken term detection (STD) system, the decision maker plays an important role in retrieving reliable detections. Most of the state-of-the-art STD systems make decisions based on a confidence measure that is term-independent, which poses a serious problem for out-of-vocabulary (OOV) term detection. In this paper, we study a term-dependent confidence measure based on confidence normalisation and discriminative modelling, particularly focusing on its remarkable effectiveness for detecting OOV terms. Experimental results indicate that the term-dependent confidence provides much more significant improvement for OOV terms than terms in-vocabulary.


doi: 10.21437/Interspeech.2009-611

Cite as: Wang, D., King, S., Frankel, J., Bell, P. (2009) Term-dependent confidence for out-of-vocabulary term detection. Proc. Interspeech 2009, 2139-2142, doi: 10.21437/Interspeech.2009-611

@inproceedings{wang09h_interspeech,
  author={Dong Wang and Simon King and Joe Frankel and Peter Bell},
  title={{Term-dependent confidence for out-of-vocabulary term detection}},
  year=2009,
  booktitle={Proc. Interspeech 2009},
  pages={2139--2142},
  doi={10.21437/Interspeech.2009-611}
}