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:
- 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)
- PDF:
- http://www.lrec-conf.org/proceedings/lrec2014/pdf/32_Paper.pdf