Summary of the paper

Title NineOneOne: Recognizing and Classifying Speech for Handling Minority Language Emergency Calls
Authors Udhyakumar Nallasamy, Alan Black, Tanja Schultz and Robert Frederking
Abstract In this paper, we describe NineOneOne (9-1-1), a system designed to recognize and translate Spanish emergency calls for better dispatching. We analyze the research challenges in adapting speech translation technology to 9-1-1 domain. We report our initial research towards building the system and the results of our initial experiments.
Language Multiple languages
Topics Machine Translation, SpeechToSpeech Translation, Dialogue & Natural Interactivity, Speech recognition and understanding
Full paper NineOneOne: Recognizing and Classifying Speech for Handling Minority Language Emergency Calls
Slides NineOneOne: Recognizing and Classifying Speech for Handling Minority Language Emergency Calls
Bibtex @InProceedings{NALLASAMY08.735,
  author = {Udhyakumar Nallasamy, Alan Black, Tanja Schultz and Robert Frederking},
  title = {NineOneOne: Recognizing and Classifying Speech for Handling Minority Language Emergency Calls},
  booktitle = {Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08)},
  year = {2008},
  month = {may},
  date = {28-30},
  address = {Marrakech, Morocco},
  editor = {Nicoletta Calzolari (Conference Chair), Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odijk, Stelios Piperidis, Daniel Tapias},
  publisher = {European Language Resources Association (ELRA)},
  isbn = {2-9517408-4-0},
  note = {http://www.lrec-conf.org/proceedings/lrec2008/},
  language = {english}
  }

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