Result Details
Summary report for project Exploiting Language Information for Situational Awareness (ELISA) For year 2016
GLEMBEK, O. Summary report for project Exploiting Language Information for Situational Awareness (ELISA) For year 2016. Brno: University of Southern California, 2016. p. 1-2.
Type
summary research report
Language
English
Authors
Glembek Ondřej, Ing., Ph.D., DCGM (FIT)
Abstract
The report summarizes the results of project "Exploiting Language Information for Situational Awareness (ELISA)" performed for the University of Southern California in L.A. in 2016.
Keywords
automatic speech recognition, topic detection, incidents, situational awareness
Annotation
The BUT effort was concentrated on building ASR systems for the November 2016 Evaluations. The basic principle was to build a robust ASRs and use their output as an input to the existing MT (ISI) engines and further to the SF classifiers (USC).
Published
2016
Pages
1–2
Publisher
University of Southern California
Place
Brno
BibTeX
@misc{BUT146281,
author="Ondřej {Glembek}",
title="Summary report for project Exploiting Language Information for Situational Awareness (ELISA) For year 2016",
year="2016",
pages="1--2",
publisher="University of Southern California",
address="Brno",
url="https://www.fit.vut.cz/research/publication/11667/",
note="Summary research report"
}
Files
Projects
DARPA Low Resource Languages for Emergent Incidents (LORELEI) - Exploiting Language Information for Situational Awareness (ELISA), University of Southern California, start: 2015-09-01, end: 2020-03-31, completed
Research groups
Speech Data Mining Research Group BUT Speech@FIT (RG SPEECH)
Departments