Doc. Ing. Lukáš Burget, Ph.D.

PAPADOPOULOS Pavlos, TRAVADI Ruchir, VAZ Colin, MALANDRAKIS Nikolaos, HERMJAKOB Ulf, POURDAMGHANI Nima, PUST Michael, ZHANG Boliang, PAN Xiaoman, LU Di, LIN Ying, GLEMBEK Ondřej, BASKAR Murali K., KARAFIÁT Martin, BURGET Lukáš, HASEGAWA-JOHNSON Mark, JI Heng, MAY Jonathan, KNIGHT Kevin and NARAYANAN Shrikanth. Team ELISA System for DARPA LORELEI Speech Evaluation 2016. In: Proceedings of Interspeech 2017. Stockholm: International Speech Communication Association, 2017, pp. 2053-2057. ISSN 1990-9772. Available from: http://www.isca-speech.org/archive/Interspeech_2017/pdfs/0180.PDF
Publication language:english
Original title:Team ELISA System for DARPA LORELEI Speech Evaluation 2016
Title (cs):Systém týmu ELISA pro řečovou evaluaci DARPA LORELEI 2016
Pages:2053-2057
Proceedings:Proceedings of Interspeech 2017
Conference:Interspeech 2017
Place:Stockholm, SE
Year:2017
URL:http://www.isca-speech.org/archive/Interspeech_2017/pdfs/0180.PDF
Journal:Proceedings of Interspeech, Vol. 2017, No. 08, FR
ISSN:1990-9772
DOI:10.21437/Interspeech.2017-180
Publisher:International Speech Communication Association
URL:http://www.fit.vutbr.cz/research/groups/speech/publi/2017/papadopoulos_interspeech2017_IS170180.pdf [PDF]
Keywords
speech evaluation
Annotation
We presented the system developed by team ELISA for the pilot
speech evaluation of LORELEI. The goal of this program is
to aid humanitarian assistance by guiding the deployment of
relief teams and resources.
Abstract
In this paper, we describe the system designed and developed by team ELISA for DARPAs LORELEI (Low Resource Languages for Emergent Incidents) pilot speech evaluation. The goal of the LORELEI program is to guide rapid resource deployment for humanitarian relief (e.g. for natural disasters), with a focus on "low-resource" language locations, where the cost of developing technologies for automated human language tools can be prohibitive both in monetary terms and timewise. In this phase of the program, the speech evaluation consisted of three separate tasks: detecting presence of an incident, classifying incident type, and classifying incident type along with identifying the location where it occurs. The performance metric was area under curve of precision-recall curves. Team ELISA competed against five other teams and won all the subtasks.
BibTeX:
@INPROCEEDINGS{
   author = {Pavlos Papadopoulos and Ruchir Travadi and Colin Vaz and
	Nikolaos Malandrakis and Ulf Hermjakob and Nima Pourdamghani
	and Michael Pust and Boliang Zhang and Xiaoman Pan and Di Lu
	and Ying Lin and Ond{\v{r}}ej Glembek and K. Murali Baskar
	and Martin Karafi{\'{a}}t and Luk{\'{a}}{\v{s}} Burget and
	Mark Hasegawa-Johnson and Heng Ji and Jonathan May and Kevin
	Knight and Shrikanth Narayanan},
   title = {Team ELISA System for DARPA LORELEI Speech Evaluation 2016},
   pages = {2053--2057},
   booktitle = {Proceedings of Interspeech 2017},
   journal = {Proceedings of Interspeech},
   volume = {2017},
   number = {08},
   year = {2017},
   location = {Stockholm, SE},
   publisher = {International Speech Communication Association},
   ISSN = {1990-9772},
   doi = {10.21437/Interspeech.2017-180},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php?id=11583}
}

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