@inproceedings{hamalainen-etal-2014-easr,
title = "The {EASR} Corpora of {E}uropean {P}ortuguese, {F}rench, {H}ungarian and {P}olish Elderly Speech",
author = {H{\"a}m{\"a}l{\"a}inen, Annika and
Avelar, Jairo and
Rodrigues, Silvia and
Dias, Miguel Sales and
Kolesi{\'n}ski, Artur and
Fegy{\'o}, Tibor and
N{\'e}meth, G{\'e}za and
Csob{\'a}nka, Petra and
Lan, Karine and
Hewson, David},
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Declerck, Thierry and
Loftsson, Hrafn and
Maegaard, Bente and
Mariani, Joseph and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Ninth International Conference on Language Resources and Evaluation ({LREC}'14)",
month = may,
year = "2014",
address = "Reykjavik, Iceland",
publisher = "European Language Resources Association (ELRA)",
url = "http://www.lrec-conf.org/proceedings/lrec2014/pdf/365_Paper.pdf",
pages = "1458--1464",
abstract = "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.",
}
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%0 Conference Proceedings
%T The EASR Corpora of European Portuguese, French, Hungarian and Polish Elderly Speech
%A Hämäläinen, Annika
%A Avelar, Jairo
%A Rodrigues, Silvia
%A Dias, Miguel Sales
%A Kolesiński, Artur
%A Fegyó, Tibor
%A Németh, Géza
%A Csobánka, Petra
%A Lan, Karine
%A Hewson, David
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Declerck, Thierry
%Y Loftsson, Hrafn
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC’14)
%D 2014
%8 May
%I European Language Resources Association (ELRA)
%C Reykjavik, Iceland
%F hamalainen-etal-2014-easr
%X 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.
%U http://www.lrec-conf.org/proceedings/lrec2014/pdf/365_Paper.pdf
%P 1458-1464
Markdown (Informal)
[The EASR Corpora of European Portuguese, French, Hungarian and Polish Elderly Speech](http://www.lrec-conf.org/proceedings/lrec2014/pdf/365_Paper.pdf) (Hämäläinen et al., LREC 2014)
ACL
- Annika Hämäläinen, Jairo Avelar, Silvia Rodrigues, Miguel Sales Dias, Artur Kolesiński, Tibor Fegyó, Géza Németh, Petra Csobánka, Karine Lan, and David Hewson. 2014. The EASR Corpora of European Portuguese, French, Hungarian and Polish Elderly Speech. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 1458–1464, Reykjavik, Iceland. European Language Resources Association (ELRA).