NineOneOne: Recognizing and Classifying Speech for Handling Minority Language Emergency Calls

Udhyakumar Nallasamy, Alan Black, Tanja Schultz, 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.
Anthology ID:
L08-1102
Volume:
Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08)
Month:
May
Year:
2008
Address:
Marrakech, Morocco
Editors:
Nicoletta Calzolari, Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odijk, Stelios Piperidis, Daniel Tapias
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
Language:
URL:
http://www.lrec-conf.org/proceedings/lrec2008/pdf/735_paper.pdf
DOI:
Bibkey:
Cite (ACL):
Udhyakumar Nallasamy, Alan Black, Tanja Schultz, and Robert Frederking. 2008. NineOneOne: Recognizing and Classifying Speech for Handling Minority Language Emergency Calls. In Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08), Marrakech, Morocco. European Language Resources Association (ELRA).
Cite (Informal):
NineOneOne: Recognizing and Classifying Speech for Handling Minority Language Emergency Calls (Nallasamy et al., LREC 2008)
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PDF:
http://www.lrec-conf.org/proceedings/lrec2008/pdf/735_paper.pdf