In this paper we describe our current work on automatic continuous sign language recognition. We present an automatic sign language recognition system that is based on a large vocabulary speech recognition system and adopts many of the approaches that are conven- tionally applied in the recognition of spoken language. Furthermore, we present a set of freely available databases that can be used for training, testing and performance evaluation of sign language recognition systems. First results on one of the databases are given, we show that the approaches from spoken language recognition are suitable, and we give directions for further research.
@inproceedings{zahedi:06005:sign-lang:lrec,
author = {Zahedi, Morteza and Dreuw, Philippe and Rybach, David and Deselaers, Thomas and Bungeroth, Jan and Ney, Hermann},
title = {Continuous Sign Language Recognition -- Approaches from Speech Recognition and Available Data Resources},
pages = {21--24},
editor = {Vettori, Chiara},
booktitle = {Proceedings of the {LREC2006} 2nd Workshop on the Representation and Processing of Sign Languages: Lexicographic Matters and Didactic Scenarios},
maintitle = {5th International Conference on Language Resources and Evaluation ({LREC} 2006)},
publisher = {{European Language Resources Association (ELRA)}},
address = {Genoa, Italy},
day = {28},
month = may,
year = {2006},
language = {english},
url = {https://www.sign-lang.uni-hamburg.de/lrec/pub/06005.pdf}
}