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Claudio F. Estienne, Alberto Sanchis, Alfons Juan, Enrique Vidal. Maximum Entropy Models for Speech Confidence Estimation. Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, 2008. pp. 4421-4424.

In this work we implement a confidence estimation system based on a Naive Bayes classifier, by using the maximum entropy paradigm. The model takes information from various sources including a set of scores which have proved to be useful in confidence estimation tasks. Two different approaches are modeled. First a basic model which takes advantages of smoothing techniques used in a previous work, and second an optimized model, which is designed to hold a set of very few but essential characteristics of the model, without decrease in the performance. A considerably reduction in the number of parameters is obtained compared to the basic model. Both models are evaluated with two different corpora and compared to a model previously developed.