@inproceedings{lamel-etal-2011-speech,
    title = "Speech recognition for machine translation in Quaero",
    author = {Lamel, Lori  and
      Courcinous, Sandrine  and
      Despres, Julien  and
      Gauvain, Jean-Luc  and
      Josse, Yvan  and
      Kilgour, Kevin  and
      Kraft, Florian  and
      Le, Viet-Bac  and
      Ney, Hermann  and
      Nu{\ss}baum-Thom, Markus  and
      Oparin, Ilya  and
      Schlippe, Tim  and
      Schl{\"u}ter, Ralf  and
      Schultz, Tanja  and
      Fraga da Silva, Thiago  and
      St{\"u}ker, Sebastian  and
      Sundermeyer, Martin  and
      Vieru, Bianca  and
      Vu, Ngoc Thang  and
      Waibel, Alexander  and
      Woehrling, C{\'e}cile},
    booktitle = "Proceedings of the 8th International Workshop on Spoken Language Translation: Evaluation Campaign",
    month = dec # " 8-9",
    year = "2011",
    address = "San Francisco, California",
    url = "https://aclanthology.org/2011.iwslt-evaluation.16",
    pages = "121--128",
    abstract = "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.",
}