Publication Details

Team ELISA System for DARPA LORELEI Speech Evaluation 2016

PAPADOPOULOS, P.; TRAVADI, R.; VAZ, C.; MALANDRAKIS, N.; HERMJAKOB, U.; POURDAMGHANI, N.; PUST, M.; ZHANG, B.; PAN, X.; LU, D.; LIN, Y.; GLEMBEK, O.; BASKAR, M.; KARAFIÁT, M.; BURGET, L.; HASEGAWA-JOHNSON, M.; JI, H.; MAY, J.; KNIGHT, K.; NARAYANAN, S. Team ELISA System for DARPA LORELEI Speech Evaluation 2016. In Proceedings of Interspeech 2017. Proceedings of Interspeech. Stockholm: International Speech Communication Association, 2017. p. 2053-2057. ISSN: 1990-9772.
Czech title
Systém týmu ELISA pro řečovou evaluaci DARPA LORELEI 2016
Type
conference paper
Language
English
Authors
Papadopoulos Pavlos (FIT)
Travadi Ruchir (FIT)
Vaz Colin (FIT)
Malandrakis Nikolaos (FIT)
Hermjakob Ulf (FIT)
Pourdamghani Nima (FIT)
Pust Michael (FIT)
Zhang Boliang (FIT)
Pan Xiaoman (FIT)
Lu Di (FIT)
Lin Ying (FIT)
Glembek Ondřej, Ing., Ph.D.
Baskar Murali Karthick, Ing., Ph.D.
Karafiát Martin, Ing., Ph.D. (DCGM)
Burget Lukáš, doc. Ing., Ph.D. (DCGM)
Hasegawa-Johnson Mark (FIT)
Ji Heng (FIT)
May Jonathan (FIT)
Knight Kevin (FIT)
Narayanan Shrikanth, prof., PhD
URL
Keywords

speech evaluation

Abstract

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.

Annotation

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.

Published
2017
Pages
2053–2057
Journal
Proceedings of Interspeech, vol. 2017, no. 08, ISSN 1990-9772
Proceedings
Proceedings of Interspeech 2017
Publisher
International Speech Communication Association
Place
Stockholm
DOI
10.21437/Interspeech.2017-180
UT WoS
000457505000430
EID Scopus
2-s2.0-85039161955
BibTeX 
@inproceedings{BUT144492,
  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 Ondřej {Glembek} and Murali Karthick {Baskar} and Martin {Karafiát} and Lukáš {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",
  booktitle="Proceedings of Interspeech 2017",
  year="2017",
  journal="Proceedings of Interspeech",
  volume="2017",
  number="08",
  pages="2053--2057",
  publisher="International Speech Communication Association",
  address="Stockholm",
  doi="10.21437/Interspeech.2017-180",
  issn="1990-9772",
  url="http://www.isca-speech.org/archive/Interspeech_2017/pdfs/0180.PDF"
}
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