7th International Conference on Spoken Language Processing
September 16-20, 2002
The aim of this paper is to propose an extension of the stochastic conceptual model in order to increase the robustness of the understanding process faced with misrecognitions and unknown words. Corpus analysis shows that some misrecognized words are more difficult to interpret than others, so we defined a word ambiguity rate. We performed trial series on train schedule inquiry application to evaluate the understanding rate when faced with misrecognized words and in particular, when these words are city names.
Bibliographic reference. Bousquet-Vernhettes, Caroline / Vigouroux, Nadine (2002): "Recognition error processing for speech understanding", In ICSLP-2002, 601-604.