An experimental speech recognition system was developed for German using an already existing technology reported elsewhere (1). The system recognizes complete sentences when the words are spoken with a small pause in between. The user has to train the system in advance by uttering 110 short sentences. The size of the system's vocabulary is presently limited to about 1300 words, with a coverage being 58% of the running words in a newspaper text from the commercial discourse domain. The system uses 60 allophones and a statistical trigram model made out of a text corpus of 14 million words. The recognition accuracy is over 95%.
Bibliographic reference. Wothke, K. / Bandara, U. / Kempf, J. / Keppel, E. / Mohr, K. / Walch, G. (1989): "The SPRING speech recognition system for German", In EUROSPEECH-1989, 2009-2012.