Speech recognition for huge vocabularies by using optimized sub-word units
Jan Kneissler, Dietrich Klakow
This paper describes approaches for decomposing words of huge vocabularies (up to 2 million) into smaller particles that are suitable for a recognition lexicon. Results on a Finnish dictation task and a flat list of German street names are given.
@inproceedings{kneissler01_eurospeech,
title = {{Speech recognition for huge vocabularies by using optimized sub-word units}},
author = {Jan Kneissler and Dietrich Klakow},
year = {2001},
booktitle = {{7th European Conference on Speech Communication and Technology (Eurospeech 2001)}},
pages = {69--72},
doi = {10.21437/Eurospeech.2001-16},
issn = {1018-4074},
}
Cite as: Kneissler, J., Klakow, D. (2001) Speech recognition for huge vocabularies by using optimized sub-word units. Proc. 7th European Conference on Speech Communication and Technology (Eurospeech 2001), 69-72, doi: 10.21437/Eurospeech.2001-16