International Workshop on Spoken Language Translation (IWSLT) 2011
San Francisco, CA, USA
This paper describes the speech-to-text systems used to provide automatic transcriptions used in the Quaero 2010 evaluation of Machine Translation from speech. Quaero (www.quaero.org) is a large research and industrial innovation program focusing on technologies for automatic analysis and classification of multimedia and multilingual documents. The ASR transcript is the result of a Rover combination of systems from three teams ( KIT, RWTH, LIMSI+VR) for the French and German languages. The casesensitive word error rates (WER) of the combined systems were respectively 20.8% and 18.1% on the 2010 evaluation data, relative WER reductions of 14.6% and 17.4% respectively over the best component system.
Bibliographic reference. Lamel, Lori / Courcinous, Sandrine / Despres, Julien / Gauvain, Jean-Luc / Josse, Yvan / Kilgour, Kevin / Kraft, Florian / Le, Viet Bac / Ney, Hermann / Nußbaum-Thom, Markus / Oparin, Ilya / Schlippe, Tim / Schlüter, Ralf / Schultz, Tanja / Fraga da Silva, Thiago / Stüker, Sebastian / Sundermeyer, Martin / Vieru, Bianca / Vu, Ngoc Thang / Waibel, Alex / Woehrling, Cècile (2011): "Speech recognition for machine translation in Quaero", In IWSLT-2011, 121-128.