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} } |