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Speech Recognition for Machine Translation in Quaero

Lamel, L.; Courcinous, S.; Despres, J.; Gauvain, J.-L.; Josse, Y.; Kilgour, K.; Kraft, F.; Ney, H.; Nußbaum-Thom, M.; Oparin, I.; Schlippe, T.; Schlüter, R.; Schultz, T.; Da Silva, T. F.; Stüker, S.; Sundermeyer, M.; Vieru, B.; Vu, N. T.; Waibel, A.; ... mehr

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.


Zugehörige Institution(en) am KIT Institut für Anthropomatik und Robotik (IAR)
Publikationstyp Proceedingsbeitrag
Publikationsjahr 2011
Sprache Englisch
Identifikator KITopen-ID: 1000030226
Erschienen in International Workshop on Spoken Language Translation (IWSLT 2011), San Francisco, California, USA, December 8-9 2011
Veranstaltung International Workshop on Spoken Language Translation (IWSLT 2011), San Francisco, CA, USA, 08.12.2011 – 09.12.2011
Verlag ISCA
Seiten 121-128
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ResearchGate
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