An Effortless Way To Create Large-Scale Datasets For Famous Speakers

François Salmon, Félicien Vallet


Abstract
The creation of large-scale multimedia datasets has become a scientific matter in itself. Indeed, the fully-manual annotation of hundreds or thousands of hours of video and/or audio turns out to be practically infeasible. In this paper, we propose an extremly handy approach to automatically construct a database of famous speakers from TV broadcast news material. We then run a user experiment with a correctly designed tool that demonstrates that very reliable results can be obtained with this method. In particular, a thorough error analysis demonstrates the value of the approach and provides hints for the improvement of the quality of the dataset.
Anthology ID:
L14-1283
Volume:
Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)
Month:
May
Year:
2014
Address:
Reykjavik, Iceland
Editors:
Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Hrafn Loftsson, Bente Maegaard, Joseph Mariani, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
348–352
Language:
URL:
http://www.lrec-conf.org/proceedings/lrec2014/pdf/32_Paper.pdf
DOI:
Bibkey:
Cite (ACL):
François Salmon and Félicien Vallet. 2014. An Effortless Way To Create Large-Scale Datasets For Famous Speakers. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 348–352, Reykjavik, Iceland. European Language Resources Association (ELRA).
Cite (Informal):
An Effortless Way To Create Large-Scale Datasets For Famous Speakers (Salmon & Vallet, LREC 2014)
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PDF:
http://www.lrec-conf.org/proceedings/lrec2014/pdf/32_Paper.pdf