Speech Translation Systems as a Solution for a Wireless Earpiece

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Título: Speech Translation Systems as a Solution for a Wireless Earpiece
Autor/es: Ruiz, Nicholas | Ochoa, Andrew | Shah, Jainam | Goethels, William | DelRio Diaz, Sergio
Palabras clave: Machine Translation
Área/s de conocimiento: Lenguajes y Sistemas Informáticos
Fecha de publicación: 2018
Editor: European Association for Machine Translation
Cita bibliográfica: Ruiz, Nicholas, et al. “Speech Translation Systems as a Solution for a Wireless Earpiece”. In: Pérez-Ortiz, Juan Antonio, et al. (Eds.). Proceedings of the 21st Annual Conference of the European Association for Machine Translation: 28-30 May 2018, Universitat d'Alacant, Alacant, Spain, pp. 361
Resumen: The advances of deep learning approaches in automatic speech recognition (ASR) and machine translation (MT) have allowed for levels of accuracy that move speech translation closer to being a commercially viable alternative interpretation solution. In addition, recent improvements in micro-electronic mechanical systems, microphone arrays, speech processing software, and wireless technology have enabled speech recognition software to capture higher quality speech input from wireless earpiece products. With this in mind, we introduce and present a wearable speech translation tool called Pilot, which uses these systems to translate language spoken within the proximity of a user wearing the wireless earpiece.
URI: http://hdl.handle.net/10045/76100
ISBN: 978-84-09-01901-4
Idioma: eng
Tipo: info:eu-repo/semantics/conferenceObject
Derechos: © 2018 The authors. This article is licensed under a Creative Commons 3.0 licence, no derivative works, attribution, CC-BY-ND.
Revisión científica: si
Versión del editor: http://eamt2018.dlsi.ua.es/proceedings-eamt2018.pdf
Aparece en las colecciones:EAMT2018 - Proceedings

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