@inproceedings{boros-etal-2014-rss,
title = "{RSS}-{TOBI} - A Prosodically Enhanced {R}omanian Speech Corpus",
author = "Boro{\textcommabelow{s}}, Tiberiu and
Stan, Adriana and
Watts, Oliver and
Dumitrescu, Stefan Daniel",
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/727_Paper.pdf",
pages = "316--320",
abstract = "This paper introduces a recent development of a Romanian Speech corpus to include prosodic annotations of the speech data in the form of ToBI labels. We describe the methodology of determining the required pitch patterns that are common for the Romanian language, annotate the speech resource, and then provide a comparison of two text-to-speech synthesis systems to establish the benefits of using this type of information to our speech resource. The result is a publicly available speech dataset which can be used to further develop speech synthesis systems or to automatically learn the prediction of ToBI labels from text in Romanian language.",
}
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%0 Conference Proceedings
%T RSS-TOBI - A Prosodically Enhanced Romanian Speech Corpus
%A Boro\textcommabelows, Tiberiu
%A Stan, Adriana
%A Watts, Oliver
%A Dumitrescu, Stefan Daniel
%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 boros-etal-2014-rss
%X This paper introduces a recent development of a Romanian Speech corpus to include prosodic annotations of the speech data in the form of ToBI labels. We describe the methodology of determining the required pitch patterns that are common for the Romanian language, annotate the speech resource, and then provide a comparison of two text-to-speech synthesis systems to establish the benefits of using this type of information to our speech resource. The result is a publicly available speech dataset which can be used to further develop speech synthesis systems or to automatically learn the prediction of ToBI labels from text in Romanian language.
%U http://www.lrec-conf.org/proceedings/lrec2014/pdf/727_Paper.pdf
%P 316-320
Markdown (Informal)
[RSS-TOBI - A Prosodically Enhanced Romanian Speech Corpus](http://www.lrec-conf.org/proceedings/lrec2014/pdf/727_Paper.pdf) (Boroș et al., LREC 2014)
ACL
- Tiberiu Boroș, Adriana Stan, Oliver Watts, and Stefan Daniel Dumitrescu. 2014. RSS-TOBI - A Prosodically Enhanced Romanian Speech Corpus. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 316–320, Reykjavik, Iceland. European Language Resources Association (ELRA).