Dragon Systems and Lernout & Hauspie Speechproducts are jointly developing large-vocabulary speaker-dependent discrete speech-recognition systems in German, Spanish, French, Italian, and Dutch. These systems use the same strategy for training as does the DragonDictate-30K English-language product. Models are created for all the phonemes in the language, each in a wide variety of contexts. The resulting phoneme-in-context models are converted to hidden Markov models whose parameters can be re-estimated on the basis of a modest amount of adaptation data. Prototype systems have now been developed for the five languages. These systems all have vocabularies of a few thousand words and operate on an 80386-based personal computer. The performance of the systems is generally dose to that achieved in English about 85% of the words are recognized correctly, and the majority of errors can be corrected with a single keystroke.
Cite as: Bamberg, P., Demedts, A., Elder, J., Huang, C., Ingold, C., Mandel, M., Manganaro, L., Even, S.v. (1991) Phoneme-based training for large-vocabulary recognition in six european languages. Proc. 2nd European Conference on Speech Communication and Technology (Eurospeech 1991), 175-182, doi: 10.21437/Eurospeech.1991-43
@inproceedings{bamberg91_eurospeech,
author={Paul Bamberg and Anne Demedts and John Elder and Caroline Huang and Charles Ingold and Mark Mandel and Linda Manganaro and Stijn van Even},
title={{Phoneme-based training for large-vocabulary recognition in six european languages}},
year=1991,
booktitle={Proc. 2nd European Conference on Speech Communication and Technology (Eurospeech 1991)},
pages={175--182},
doi={10.21437/Eurospeech.1991-43}
}