GAIA: Common Framework for the Development of Speech Translation Technologies

10349

Authors

nan

Abstract

AbstractWe 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.

Keywords

nan

Full Content

nan

Labeled Text

AbstractWe 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.

Publication Details

Paper ID:
10349
Year:
2006
Publication:
TIPSTER
Publication Type:
conf
DOI:
nan