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

Aalborg, Denmark
September 3-7, 2001


Probabilistic Concept Verification for Language Understanding in Spoken Dialogue Systems

Yi-Chung Lin, Huei-Ming Wang

Industrial Technology Research Institute, Taiwan

In the past researches, several kinds of information have been explored to assess the confidence measure or to select the confidence tag for a word/phrase. However, the contextual confidence information is little touched. In this paper, we propose a concept-based probabilistic verification model to integrate the contextual confidence information. In this model, a concept is verified not only according to its acoustic confidence measure but also according to neighboring concepts and their confidence levels. Experimental results show that the proposed model significantly outperforms the model using only confidence measures. The error rate of confidence tag is reduced from 17.7% to 15.12%, which corresponds to an error reduction rate of 14.5%.

Full Paper

Bibliographic reference.  Lin, Yi-Chung / Wang, Huei-Ming (2001): "Probabilistic concept verification for language understanding in spoken dialogue systems", In EUROSPEECH-2001, 1049-1052.