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Direct Segmentation Models for Streaming Speech Translation

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Direct Segmentation Models for Streaming Speech Translation

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Iranzo-Sánchez, J.; Giménez Pastor, A.; Silvestre Cerdà, JA.; Baquero-Arnal, P.; Civera Saiz, J.; Juan, A. (2020). Direct Segmentation Models for Streaming Speech Translation. Association for Computational Linguistics. 2599-2611. http://hdl.handle.net/10251/177537

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Title: Direct Segmentation Models for Streaming Speech Translation
Author: Iranzo-Sánchez, Javier Giménez Pastor, Adrián Silvestre Cerdà, Joan Albert Baquero-Arnal, Pau Civera Saiz, Jorge Juan, Alfons
UPV Unit: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Issued date:
Abstract:
[EN] The cascade approach to Speech Translation (ST) is based on a pipeline that concatenates an Automatic Speech Recognition (ASR) system followed by a Machine Translation (MT) system. These systems are usually connected by ...[+]
Copyrigths: Reconocimiento (by)
ISBN: 978-1-952148-60-6
Source:
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP).
Publisher:
Association for Computational Linguistics
Publisher version: https://aclanthology.org/volumes/2020.emnlp-main/
Conference name: Conference on Empirical Methods in Natural Language Processing (EMNLP 2020)
Conference place: Online
Conference date: Noviembre 16-20,2020
Project ID:
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-094879-B-I00/ES/SUBTITULACION MULTILINGUE DE CLASES DE AULA Y SESIONES PLENARIAS/
info:eu-repo/grantAgreement/EC/H2020/761758/EU
info:eu-repo/grantAgreement/MCIU//FPU18%2F04135//AYUDA PREDOCTORAL FPU-IRANZO SANCHEZ. PROYECTO: NOVEL CONTRIBUTIONS TO NEURAL SPEECH TRANSLATION/
info:eu-repo/grantAgreement/GVA//ACIF%2F2017%2F055//AYUDA PREDOCTORAL CONSELLERIA-BAQUERO ARNAL/
info:eu-repo/grantAgreement///PROMETEO%2F2019%2F111//CLASSROOM ACTIVITY RECOGNITION/
Thanks:
The research leading to these results has received funding from the European Union's Horizon 2020 research and innovation program under grant agreement no. 761758 (X5Gon); the Government of Spain's research project Multisub, ...[+]
Type: Comunicación en congreso Capítulo de libro

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