Exportar Publicação

A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA)
Hämäläinen, A., Avelar, J., Rodrigues, S., Dias, J., Kolesinski, A., Fegyó, T....Hewson, D. (2014). The EASR corpora of European Portuguese, French, hungarian and polish elderly speech. In Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Hrafn Loftsson, Bente Maegaard, Joseph Mariani, Asuncion Moreno, Jan Odijk, Stelios Piperidis (Ed.), Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC 2014). (pp. 1458-1464). Reykjavik: European Language Resources Association (ELRA).
Exportar Referência (IEEE)
A. Hämäläinen et al.,  "The EASR corpora of European Portuguese, French, hungarian and polish elderly speech", in Proc. of the Ninth Int. Conf. on Language Resources and Evaluation (LREC 2014), Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Hrafn Loftsson, Bente Maegaard, Joseph Mariani, Asuncion Moreno, Jan Odijk, Stelios Piperidis, Ed., Reykjavik, European Language Resources Association (ELRA), 2014, pp. 1458-1464
Exportar BibTeX
@inproceedings{hämäläinen2014_1734979341503,
	author = "Hämäläinen, A. and Avelar, J. and Rodrigues, S. and Dias, J. and Kolesinski, A. and Fegyó, T. and Németh, G. and Csobánka, P. and Ting, K. L. H. and Hewson, D.",
	title = "The EASR corpora of European Portuguese, French, hungarian and polish elderly speech",
	booktitle = "Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC 2014)",
	year = "2014",
	editor = "Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Hrafn Loftsson, Bente Maegaard, Joseph Mariani, Asuncion Moreno, Jan Odijk, Stelios Piperidis",
	volume = "",
	number = "",
	series = "",
	pages = "1458-1464",
	publisher = "European Language Resources Association (ELRA)",
	address = "Reykjavik",
	organization = "European Language Resources Association (ELRA)",
	url = "http://www.lrec-conf.org/proceedings/lrec2014/summaries/365.html"
}
Exportar RIS
TY  - CPAPER
TI  - The EASR corpora of European Portuguese, French, hungarian and polish elderly speech
T2  - Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC 2014)
AU  - Hämäläinen, A.
AU  - Avelar, J.
AU  - Rodrigues, S.
AU  - Dias, J.
AU  - Kolesinski, A.
AU  - Fegyó, T.
AU  - Németh, G.
AU  - Csobánka, P.
AU  - Ting, K. L. H.
AU  - Hewson, D.
PY  - 2014
SP  - 1458-1464
CY  - Reykjavik
UR  - http://www.lrec-conf.org/proceedings/lrec2014/summaries/365.html
AB  - Currently available speech recognisers do not usually work well with elderly speech. This is because several characteristics of speech  (e.g. fundamental frequency, jitter, shimmer and harmonic noise ratio) change with age and because the acoustic models used by speech recognisers are typically trained with speech collected from younger adults only. To develop speech-driven applications capable of successfully recognising elderly speech, this type of speech data is needed for training acoustic models from scratch or for adapting acoustic models trained with younger adults’ speech. However, the availability of suitable elderly speech corpora is still very limited. This paper describes an ongoing project to design, collect, transcribe and annotate large elderly speech corpora for four European languages: Portuguese, French, Hungarian and Polish. The Portuguese, French and Polish corpora contain read speech only, whereas the Hungarian corpus also contains spontaneous command and control type of speech. Depending on the language in question, the corpora contain 76 to 205 hours of speech collected from 328 to 986 speakers aged 60 and over. The final corpora will come with manually verified orthographic transcriptions, as well as annotations for filled pauses, noises and damaged words.

ER  -