Main area of research
Natural language & AI
Holger Quast is responsible for the speech recognition and natural language understanding strategy for consumer electronics devices as product manager for the VoCon recognizer in Nuance’s Mobile division. Previously, he started and led the automotive natural language understanding research group and managed the Dragon Drive UI team at Nuance. He is passionate about creating smart personal assistants that aid their users wherever they are, understand who they are, and know how to best help them. Holger studied physics and neurocomputing in Göttingen and at UC San Diego and holds a Ph.D. in physics from the University of Göttingen. He is also a scuba instructor and enjoys photography, both in and out of the water. A father of three, he lives with his family close go Ghent, Belgium.
This paper presents a multi-modal automotive dictation editor (codenamed ECOR) used to compose and correct text messages while driving. The goals are to keep driver’s …
We describe a prototype dictation UI for use in cars and evaluate it by measuring (1) driver’s distraction, (2) task completion time, and (3) task …
According to example configurations, a speech recognition system is configured to receive an utterance. Based on analyzing at least a portion of the utterance using …
Robust Natural Language Understanding through Prediction of Semantic Items by Pattern Recognition on Nonverbal Acoustic Speech Characteristics.