Matthias Denecke

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As computational and communications systems become increasingly smaller, faster, more powerful, and more integrated, the goal of interactive, integrated meeting support rooms is slowly becoming reality. It is already possible, for instance, to rapidly locate task-related information during a meeting, filter it, and share it with remote users. Unfortunately,(More)
In this paper, we present our eeorts towards developing an intelligent tourist system. The system is equipped with a unique combination of sensors and software. The hardware includes two computers, a GPS receiver, a lapel microphone plus an earphone, a video camera and a head-mounted display. This combination enables a multimodal interface to take advantage(More)
Much w ork has been done in dialogue model-ing for Human-Computer Interaction. Problems arise in situations where disambiguation of highly ambiguous data base output is necessary. W e propose to model the task rather than the dialogue itself. Furthermore, we propose underspeciied representations to represent relevant data and to serve as a base for(More)
This paper describes our latest efforts in building a speech rec-ognizer for operating a navigation system through speech instead of typed input. Compared to conventional speech recognition for navigation systems, where the input is usually restricted to a fixed set of keywords and keyword phrases, complete spontaneous sentences are allowed as speech input.(More)
We describe our system which facilitates collaboration using multiple modalities, including speech, handwriting, gestures, gaze tracking, direct manipulation, large projected touch-sensitive displays, laser pointer tracking, regular monitors with a mouse and keyboard, and wirelessly-networked handhelds. Our system allows multiple, geographically dispersed(More)
Even as progress in speech technologies and task and dialog modeling has allowed the development of advanced spoken dialog systems, the low-level interaction behavior of those systems remains often rigid and inefficient. The goal of this thesis, is to provide a framework and models to endow spoken dialog systems with robust and flexible turn-taking(More)
The learning of dialogue strategies in spoken dialogue systems using reinforcement learning is a promising approach to acquire robust dialogue strategies. However, the trade-off between available dialogue data and information in the dialogue state either forces information to be excluded from the state representations or requires large amount of training(More)
There is a great potential for combining speech and gestures to improve human computer interaction because this kind of communication resembles more and more the natural communication humans use every day with each other. Therefore, this paper is about the multimodal interaction consisting of speech and gestures in an intelligent room. The advantages of(More)