The speech-to-speech translation system Verbmobil requires a multilin- gual setting. This consists of recognition engines in the three languages German, English and Japanese that run in one common framework together with a language identification component which is able to switch between these recognizers. This article describes the challenges of multilingual speech recognition and presents dif- ferent solutions to the problem of the automatic language identification task. The combination ofthe described components results in a flexible and user-friendly mul- tilingual spoken dialog system.
CITATION STYLE
Nöth, E., Harbeck, S., & Niemann, H. (1999). Multilingual Speech Recognition. In Computational Models of Speech Pattern Processing (pp. 362–374). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-60087-6_31
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