Research

Automatic speech recognition and text-to-speech technology offer a promising alternative, to substitute or augment the more conventional user interfaces we grew accustomed to. Multi-touch technology is one of the most interesting graphical interaction concepts, gaining popularity with the newer generation of smart phones. The combination of multi-touch and voice recognition has the potential to dramatically speed-up workflows.

But there are challenges that arise when using the modality of voice, as experienced with more traditional deployments in telephony and desktop environments. Nevertheless, they can be met by a profound knowledge about the design of voice user interfaces on the one hand, and the combination of different modalities on the other. In addition, we are investigating how to support the development of multimodal applications in pervasive environments as they can be found in meeting scenarios, while driving with our car or when controlling our homes. Another important aspect that we are researching includes the social aspects or interaction in our home environments.

• Infostrom
• Mundo Speech API
• Smart Vortex
• Social IPTV
• STAIRS

Group Leader

Dr. Dirk Schnelle-Walka, Post-Doctoral researcher

Research Staff 

Stefan Radomski, Doctoral Researcher
Niloo Dezfuli, Doctoral researcher
Sebastian Döweling, Doctoral Researcher