2011.iwslt-evaluation.16@ACL

#1 Speech recognition for machine translation in Quaero [PDF] [Copy] [Kimi]

Authors: Lori Lamel ; Sandrine Courcinous ; Julien Despres ; Jean-Luc Gauvain ; Yvan Josse ; Kevin Kilgour ; Florian Kraft ; Viet-Bac Le ; Hermann Ney ; Markus Nußbaum-Thom ; Ilya Oparin ; Tim Schlippe ; Ralf Schlüter ; Tanja Schultz ; Thiago Fraga da Silva ; Sebastian Stüker ; Martin Sundermeyer ; Bianca Vieru ; Ngoc Thang Vu ; Alexander Waibel ; Cécile Woehrling

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.