In this paper we present our primary submission to the first Dutch and Flemish large vocabulary continuous speech recognition benchmark, N-Best. We describe our system workflow, the models we created for the four evaluation tasks and how we approached the problem of compounding that is typical for a language such as Dutch. We present the evaluation results and our post-evaluation analysis.
Bibliographic reference. Huijbregts, Marijn / Ordelman, Roeland / Werff, Laurens van der / Jong, Franciska M. G. de (2009): "SHoUT, the university of twente submission to the n-best 2008 speech recognition evaluation for dutch", In INTERSPEECH-2009, 2575-2578.