Doblaje automático de vídeo-charlas educativas en UPV[Media]

[EN] More and more universities are banking on the production of digital contents to support online or blended learning in higher education. Over the last years, the MLLP research group has been working closely with the UPV’s ASIC media services in order to enrich educational multimedia resources th...

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Detalhes bibliográficos
Autores: Pérez González de Martos, Alejandro Manuel, Iranzo Sánchez, Javier, Baquero Arnal, Pau, Giménez Pastor, Adrián, Jorge-Cano, Javier|||0000-0002-9279-6768, Silvestre Cerdà, Joan Albert|||0000-0003-2291-8296, Garcés Díaz-Munío, Gonçal|||0000-0002-2594-5858, Sanchis Navarro, José Alberto|||0000-0002-2943-0990, Civera Saiz, Jorge|||0000-0002-0963-0143, Juan, Alfons|||0000-0002-9984-4072, Turró Ribalta, Carlos|||0000-0002-3840-9405
Formato: capítulo de livro
Fecha de publicación:2022
País:España
Recursos:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:español
OAI Identifier:oai:riunet.upv.es:10251/191088
Acesso em linha:https://riunet.upv.es/handle/10251/191088
Access Level:acceso abierto
Palavra-chave:Automatic speech recognition
Machine translation
Text-to-speech
Automatic dubbing
OER
Reconocimiento automático del habla
Traducción automática
Síntesis de voz
Doblaje automático
Descrição
Resumo:[EN] More and more universities are banking on the production of digital contents to support online or blended learning in higher education. Over the last years, the MLLP research group has been working closely with the UPV’s ASIC media services in order to enrich educational multimedia resources through the application of natural language processing technologies including automatic speech recognition, machine translation and text-tospeech. In this work we present the steps that are being followed for the comprehensive translation of these materials, specifically through (semi-)automatic dubbing by making use of state-of-the-art speaker-adaptive text-to-speech technologies.