ISCA Archive ICSLP 1994
ISCA Archive ICSLP 1994

Predicting word spotting performance

Man-hung Siu, Herbert Gish, Robin Rohlicek

To use a word spotting system efficiently, it is helpful to be able to predict the performance of the system accurately. In this paper, we investigate performance prediction under different conditions. First, we discuss how to use statistical techniques to predict performance, and its variability on new unseen testing data. Second, we show that classification trees can be used to estimate the posterior probability of putative hits and that posterior probability can predict performance of unlabeled test data. Thirdly, we show that the classification tree method can generalize to predict spotting performance on new keywords.


Cite as: Siu, M.-h., Gish, H., Rohlicek, R. (1994) Predicting word spotting performance. Proc. 3rd International Conference on Spoken Language Processing (ICSLP 1994), 2195-2198

@inproceedings{siu94_icslp,
  author={Man-hung Siu and Herbert Gish and Robin Rohlicek},
  title={{Predicting word spotting performance}},
  year=1994,
  booktitle={Proc. 3rd International Conference on Spoken Language Processing (ICSLP 1994)},
  pages={2195--2198}
}