Holger Quast

Holger Quast
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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.

Selected articles

Situation-aware message presentation for automotive messaging

A text message processing arrangement is described for use in a mobile environment. A mobile messaging application processes user text messages during a user messaging

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Voice in the user interface

Interacting with voice-based interfaces on a broad variety of devices spanning smartphones, tablets, TVs, cars, and kiosks is becoming a routine part of daily life.

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Impact of word error rate on driving performance while dictating short texts

This paper describes the impact of speech recognition word error rate (WER) on driver’s distraction in the context of short message dictation. A multi-modal dictation

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Dictating and editing short texts while driving

Although several existing in-car systems support dictation, there is none which would systematically address dictation and error correction for automotive environments. Dictation and correction systems

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Concept Search and Semantic Annotation for Mobile Messaging

A textual message processing system and method are described for use in a mobile environment. A user messaging application processes at least one user textual

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