CUED Publications database

Interaction quality estimation in spoken dialogue systems using hybrid-HMMs

Ultes, S and Minker, W (2014) Interaction quality estimation in spoken dialogue systems using hybrid-HMMs. In: UNSPECIFIED pp. 208-217..

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© 2014 Association for Computational Linguistics. Research trends on SDS evaluation are recently focusing on objective assessment methods. Most existing methods, which derive quality for each systemuser-exchange, do not consider temporal dependencies on the quality of previous exchanges. In this work, we investigate an approach for determining Interaction Quality for human-machine dialogue based on methods modeling the sequential characteristics using HMM modeling. Our approach significantly outperforms conventional approaches by up to 4.5% relative improvement based on Unweighted Average Recall metrics.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Divisions: Div F > Machine Intelligence
Depositing User: Cron Job
Date Deposited: 17 Jul 2017 19:34
Last Modified: 22 May 2018 08:05