Multilingual person to person communication at IRST

نویسندگان

  • Bianca Angelini
  • Mauro Cettolo
  • Anna Corazza
  • Daniele Falavigna
  • Gianni Lazzari
چکیده

This paper refers to a machine-mediated person-to-person multilingual communication system. Stress is put on robustness, that is the ability of the system to preserve communication even in presence of the variability and errors typical of spoken language systems. The statistical approach is adopted not only at the acoustic level, but also for the linguistic processing. Therefore, while an overview of the global architecture will be brie y introduced, the focus will be put on the acoustic recognizer and the understanding module. Experimental evaluations complete the presentation.

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تاریخ انتشار 1997