@inproceedings{ruiz-etal-2018-speech,
title = "Speech Translation Systems as a Solution for a Wireless Earpiece",
author = "Ruiz, Nicholas and
Ochoa, Andrew and
Shah, Jainam and
Goethels, William and
DelRio Diaz, Sergio",
editor = "P{\'e}rez-Ortiz, Juan Antonio and
S{\'a}nchez-Mart{\'\i}nez, Felipe and
Espl{\`a}-Gomis, Miquel and
Popovi{\'c}, Maja and
Rico, Celia and
Martins, Andr{\'e} and
Van den Bogaert, Joachim and
Forcada, Mikel L.",
booktitle = "Proceedings of the 21st Annual Conference of the European Association for Machine Translation",
month = may,
year = "2018",
address = "Alicante, Spain",
url = "https://aclanthology.org/2018.eamt-main.54",
pages = "381",
abstract = "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.",
}
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%0 Conference Proceedings
%T Speech Translation Systems as a Solution for a Wireless Earpiece
%A Ruiz, Nicholas
%A Ochoa, Andrew
%A Shah, Jainam
%A Goethels, William
%A DelRio Diaz, Sergio
%Y Pérez-Ortiz, Juan Antonio
%Y Sánchez-Martínez, Felipe
%Y Esplà-Gomis, Miquel
%Y Popović, Maja
%Y Rico, Celia
%Y Martins, André
%Y Van den Bogaert, Joachim
%Y Forcada, Mikel L.
%S Proceedings of the 21st Annual Conference of the European Association for Machine Translation
%D 2018
%8 May
%C Alicante, Spain
%F ruiz-etal-2018-speech
%X 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.
%U https://aclanthology.org/2018.eamt-main.54
%P 381
Markdown (Informal)
[Speech Translation Systems as a Solution for a Wireless Earpiece](https://aclanthology.org/2018.eamt-main.54) (Ruiz et al., EAMT 2018)
ACL