@inproceedings{wang2007confidence,
author = {Wang, Ye-Yi and Yu, Dong and Ju, Yu-Cheng and Zweig, Geoffrey and Acero, Alex},
title = {Confidence Measures for Voice Search Applications},
booktitle = {8th Annual Conference of the International Speech Communication Association},
year = {2007},
month = {January},
abstract = {Voice search is the technology underlying many spoken dialog applications that enable users to access information using spoken queries. This paper reviews voice search technology, and proposes a new and effective method for computing semantic confidence measures. It explores the use of maximum entropy classifiers as confidence models, and investigates a feature selection algorithm that leads to an effective subset of prominent features for the classifier. The experimental results on a directory assistance application show that the reduced feature set not only makes the model more effective in handling different recognition and search engine combinations, but also results in a very informative confidence measure that is closely correlated with the actual voice search accuracy.},
publisher = {International Speech Communication Association},
url = {http://approjects.co.za/?big=en-us/research/publication/confidence-measures-for-voice-search-applications/},
pages = {2721-2724},
edition = {8th Annual Conference of the International Speech Communication Association},
}