This paper presents a speech recognition system that is particularly suited for drivers and passengers in a vehicle environment. As it will become clear, the requirements of such a system are quite unique. Some applications require small vocabulary with a quick response time while others demand a large vocabulary, however, they can sustain a larger latency in response. The idea of our approach is to complement the scope of an in-car speech recognizer with a large vocabulary recognizer running on a server using a cliedserver architecture without increasing the overall costs. Apart fkom the recognizing concept, the paper describes a Hybrid Speech Interface (HSI), in which the Back-End recognizer is embedded. The HSI architecture is an open architecture for in-car clients and their underlying infrasrruchlre. It allows the integration of different applications (NewsReader, Route Guidance, etc.) into a homogeneous user interface.
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