@inproceedings{perez-bonafonte-2006-gaia,
title = "{GAIA}: Common Framework for the Development of Speech Translation Technologies",
author = "P{\'e}rez, Javier and
Bonafonte, Antonio",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Gangemi, Aldo and
Maegaard, Bente and
Mariani, Joseph and
Odijk, Jan and
Tapias, Daniel",
booktitle = "Proceedings of the Fifth International Conference on Language Resources and Evaluation ({LREC}{'}06)",
month = may,
year = "2006",
address = "Genoa, Italy",
publisher = "European Language Resources Association (ELRA)",
url = "http://www.lrec-conf.org/proceedings/lrec2006/pdf/415_pdf.pdf",
abstract = "We present here an open-source software platform for the integration of speech translation components. This tool is useful to integrate into a common framework different automatic speech recognition, spoken language translation and text-to-speech synthesis solutions, as demonstrated in the evaluation of the European LC-STAR project, and during the development of the national ALIADO project. Gaia operates with great flexibility, and it has been used to obtain the text and speech corpora needed when performing speech translation. The platform follows a modular distributed approach, with a specifically designed extensible network protocol handling the communication with the different modules. A well defined and publicly available API facilitates the integration of existing solutions into the architecture. Completely functional audio and text interfaces together with remote monitoring tools are provided.",
}
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<abstract>We present here an open-source software platform for the integration of speech translation components. This tool is useful to integrate into a common framework different automatic speech recognition, spoken language translation and text-to-speech synthesis solutions, as demonstrated in the evaluation of the European LC-STAR project, and during the development of the national ALIADO project. Gaia operates with great flexibility, and it has been used to obtain the text and speech corpora needed when performing speech translation. The platform follows a modular distributed approach, with a specifically designed extensible network protocol handling the communication with the different modules. A well defined and publicly available API facilitates the integration of existing solutions into the architecture. Completely functional audio and text interfaces together with remote monitoring tools are provided.</abstract>
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%0 Conference Proceedings
%T GAIA: Common Framework for the Development of Speech Translation Technologies
%A Pérez, Javier
%A Bonafonte, Antonio
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Gangemi, Aldo
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Odijk, Jan
%Y Tapias, Daniel
%S Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC’06)
%D 2006
%8 May
%I European Language Resources Association (ELRA)
%C Genoa, Italy
%F perez-bonafonte-2006-gaia
%X We present here an open-source software platform for the integration of speech translation components. This tool is useful to integrate into a common framework different automatic speech recognition, spoken language translation and text-to-speech synthesis solutions, as demonstrated in the evaluation of the European LC-STAR project, and during the development of the national ALIADO project. Gaia operates with great flexibility, and it has been used to obtain the text and speech corpora needed when performing speech translation. The platform follows a modular distributed approach, with a specifically designed extensible network protocol handling the communication with the different modules. A well defined and publicly available API facilitates the integration of existing solutions into the architecture. Completely functional audio and text interfaces together with remote monitoring tools are provided.
%U http://www.lrec-conf.org/proceedings/lrec2006/pdf/415_pdf.pdf
Markdown (Informal)
[GAIA: Common Framework for the Development of Speech Translation Technologies](http://www.lrec-conf.org/proceedings/lrec2006/pdf/415_pdf.pdf) (Pérez & Bonafonte, LREC 2006)
ACL