MINTZAI: Sistemas de Aprendizaje Profundo E2E para Traducción Automática del Habla
Autores: Inma Hernáez Eva Navas Edson E. Benites Igor Ellakuria Eusebi Calonge Maite Martin
Fecha: 01.09.2020
Procesamiento del Lenguaje Natural
Abstract
Speech Translation consists in translating speech in one language into text or speech in a different language. These systems have numerous applications, particularly in multilingual communities such as the European Union. The standard approach in the field involves the chaining of separate components for speech recognition, machine translation and speech synthesis. With the advances made possible by artificial neural networks and Deep Learning, training end-to-end speech translation systems has given rise to intense research and development activities in recent times. In this paper, we review the state of the art and describe project MINTZAI, which is being carried out in this field.
BIB_text
title = {MINTZAI: Sistemas de Aprendizaje Profundo E2E para Traducción Automática del Habla},
journal = {Procesamiento del Lenguaje Natural},
pages = {97-100},
volume = {65},
keywds = {
Speech Translation, Machine Translation, Speech Recognition, Text to Speech, Deep Learning
}
abstract = {
Speech Translation consists in translating speech in one language into text or speech in a different language. These systems have numerous applications, particularly in multilingual communities such as the European Union. The standard approach in the field involves the chaining of separate components for speech recognition, machine translation and speech synthesis. With the advances made possible by artificial neural networks and Deep Learning, training end-to-end speech translation systems has given rise to intense research and development activities in recent times. In this paper, we review the state of the art and describe project MINTZAI, which is being carried out in this field.
}
doi = {10.26342/2020-65-12},
date = {2020-09-01},
}
