10th Annual Conference of the International Speech Communication Association

Brighton, United Kingdom
September 6-10, 2009

Using Graphical Models for Mixed-Initiative Dialog Management Systems with Realtime Policies

Stefan Schwärzler, Stefan Maier, Joachim Schenk, Frank Wallhoff, Gerhard Rigoll

Technische Universität München, Germany

In this paper, we present a novel approach for dialog modeling, which extends the idea underlying the partially observable Markov Decision Processes (POMDPs), i.e. it allows for calculating the dialog policy in real-time and thereby increases the system flexibility. The use of statistical dialog models is particularly advantageous to react adequately to common errors of speech recognition systems. Comparing our results to the reference system (POMDP), we achieve a relative reduction of 31:6% of the average dialog length. Furthermore, the proposed system shows a relative enhancement of 64:4% of the sensitivity rate in the error recognition capabilities using the same specifity rate in both systems. The achieved results are based on the Air Travelling Information System with 21650 user utterances in 1585 natural spoken dialogs.

Full Paper

Bibliographic reference.  Schwärzler, Stefan / Maier, Stefan / Schenk, Joachim / Wallhoff, Frank / Rigoll, Gerhard (2009): "Using graphical models for mixed-initiative dialog management systems with realtime Policies", In INTERSPEECH-2009, 260-263.