Sixth International Conference on Spoken Language Processing
In this paper, the use of the probabilities produced by a K-nearest neighbours (K-nn) estimator as confidence measure is investigated in an hypothesis verification post-processing scheme. The objective is to classify as correct or incorrect the outputs of a Gaussian mixture model (GMM) /HMM speech recognition system. Four confidence measures based on the Knn probability estimator are introduced. Preliminary experiments are reported and discussed on the TIMIT database.
Bibliographic reference. Lefèvre, Fabrice (2000): "Confidence measures based on the k-nn probability estimator", In ICSLP-2000, vol.4, 195-197.