SAVAS: Collecting, Annotating and Sharing Audiovisual Language Resources for Automatic Subtitling

Egileak: Arantza del Pozo, Carlo Aliprandi, Aitor Álvarez, Carlos Mendes, Joao P. Neto, Sérgio Paulo, Nicola Piccinini, Matteo Raffaelli

Data: 28.05.2014


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Abstract

This paper describes the data collection, annotation and sharing activities carried out within the FP7 EU-funded SAVAS project. The project aims to collect, share and reuse audiovisual language resources from broadcasters and subtitling companies to develop large vocabulary continuous speech recognisers in specific domains and new languages, with the purpose of solving the automated subtitling needs of the media industry.

BIB_text

@Article {
author = {Arantza del Pozo, Carlo Aliprandi, Aitor Álvarez, Carlos Mendes, Joao P. Neto, Sérgio Paulo, Nicola Piccinini, Matteo Raffaelli},
title = {SAVAS: Collecting, Annotating and Sharing Audiovisual Language Resources for Automatic Subtitling},
pages = {432-436},
keywds = {

audio and text corpora, speech recognition, automatic subtitling


}
abstract = {

This paper describes the data collection, annotation and sharing activities carried out within the FP7 EU-funded SAVAS project. The project aims to collect, share and reuse audiovisual language resources from broadcasters and subtitling companies to develop large vocabulary continuous speech recognisers in specific domains and new languages, with the purpose of solving the automated subtitling needs of the media industry.


}
isbn = {978-2-9517408-8-4},
date = {2014-05-28},
year = {2014},
}
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