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Author Cámbara, G.; Grivolla, J.; Farrús, M.; Wanner, L. pdf  doi
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  Title Automatic Speech Translation for Multinational First Responder Teams Type Conference Article
  Year 2023 Publication Proceedings of the 20th International ISCRAM Conference Abbreviated Journal Iscram 2023  
  Volume Issue Pages 188-196  
  Keywords Automatic Speech Translation; First Responders; Disaster Management  
  Abstract Big disasters as increasingly observed all over the world, often require the involvement of a large number of personnel, in particular personnel acting in the field, i.e., First Responders. By far not always local teams are sufficient. As a consequence, in particular in Europe, teams from different member states are dispatched to support the local teams. However, this bears a potential of miscommunication since it cannot be taken for granted that English is mastered to a sufficient degree by everybody to serve as lingua franca. In this paper, we present work in progress carried out in the context of the INGENIOUS project on an automatic speech translation module that facilitates the interaction between First Responders speaking different languages. The module is embedded into the Telegram Messenger Application and consists of three main modules: Automatic Speech Recognition, Machine Translation, and Text-to-Speech, which are applied in sequence. We opt for a pipeline solution instead of end-to-end speech translation in order to guarantee the availability of the original speech transcriptions and their translations.  
  Address Pompeu Fabra University; University of Barcelona; Catalan Institute for Research and Advanced Studies (ICREA) and NLP Group, Pompeu Fabra University  
  Corporate Author (up) Thesis  
  Publisher University of Nebraska at Omaha Place of Publication Omaha, USA Editor Jaziar Radianti; Ioannis Dokas; Nicolas Lalone; Deepak Khazanchi  
  Language English Summary Language Original Title  
  Series Editor Hosssein Baharmand Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition 1  
  ISSN ISBN Medium  
  Track Technologies for First Responders Expedition Conference  
  Notes http://dx.doi.org/10.59297/RPZH2519 Approved no  
  Call Number ISCRAM @ idladmin @ Serial 2517  
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