EUROSPEECH 2001 Scandinavia
7th European Conference on Speech Communication and Technology

Aalborg, Denmark
September 3-7, 2001


On Combining Confidence Measures for Improved Rejection of Incorrect Data

Delphine Charlet, Guy Mercier, Denis Jouvet

France TÚlÚcom R&D, France

In this paper, techniques for combining confidence measures are proposed and evaluated. Confidence measures are useful for rejecting incorrect data, which is an important issue in speech recognition based interactive systems. Many ways of computing individual confidence measures have already been investigated. A detailed analysis of various confidence measures shows that they behave differently for what concerns rejection of incorrect data on various field data subsets (substitution errors, out-of-vocabulary data & noise tokens) collected from a vocal directory task. Two combination methods are then presented. One combines confidence measures by means of a neural network and the other through logistic regression. Evaluations shows that both combination techniques are efficient, and both take the best of the various individual confidence measures involved on each data subset.

Full Paper

Bibliographic reference.  Charlet, Delphine / Mercier, Guy / Jouvet, Denis (2001): "On combining confidence measures for improved rejection of incorrect data", In EUROSPEECH-2001, 2113-2116.