@inproceedings{rebai-etal-2020-linto,
title = "{L}in{TO} Platform: A Smart Open Voice Assistant for Business Environments",
author = "Rebai, Ilyes and
Benhamiche, Sami and
Thompson, Kate and
Sellami, Zied and
Laine, Damien and
Lorr{\'e}, Jean-Pierre",
editor = "Rehm, Georg and
Bontcheva, Kalina and
Choukri, Khalid and
Haji{\v{c}}, Jan and
Piperidis, Stelios and
Vasi{\c{l}}jevs, Andrejs",
booktitle = "Proceedings of the 1st International Workshop on Language Technology Platforms",
month = may,
year = "2020",
address = "Marseille, France",
publisher = "European Language Resources Association",
url = "https://aclanthology.org/2020.iwltp-1.14",
pages = "89--95",
abstract = "In this paper, we present LinTO, an intelligent voice platform and smart room assistant for improving efficiency and productivity in business. Our objective is to build a Spoken Language Understanding system that maintains high performance in both Automatic Speech Recognition (ASR) and Natural Language Processing while being portable and scalable. In this paper we describe the LinTO architecture and our approach to ASR engine training which takes advantage of recent advances in deep learning while guaranteeing high-performance real-time processing. Unlike the existing solutions, the LinTO platform is open source for commercial and non-commercial use",
language = "English",
ISBN = "979-10-95546-64-1",
}
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<abstract>In this paper, we present LinTO, an intelligent voice platform and smart room assistant for improving efficiency and productivity in business. Our objective is to build a Spoken Language Understanding system that maintains high performance in both Automatic Speech Recognition (ASR) and Natural Language Processing while being portable and scalable. In this paper we describe the LinTO architecture and our approach to ASR engine training which takes advantage of recent advances in deep learning while guaranteeing high-performance real-time processing. Unlike the existing solutions, the LinTO platform is open source for commercial and non-commercial use</abstract>
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%0 Conference Proceedings
%T LinTO Platform: A Smart Open Voice Assistant for Business Environments
%A Rebai, Ilyes
%A Benhamiche, Sami
%A Thompson, Kate
%A Sellami, Zied
%A Laine, Damien
%A Lorré, Jean-Pierre
%Y Rehm, Georg
%Y Bontcheva, Kalina
%Y Choukri, Khalid
%Y Hajič, Jan
%Y Piperidis, Stelios
%Y Vasiļjevs, Andrejs
%S Proceedings of the 1st International Workshop on Language Technology Platforms
%D 2020
%8 May
%I European Language Resources Association
%C Marseille, France
%@ 979-10-95546-64-1
%G English
%F rebai-etal-2020-linto
%X In this paper, we present LinTO, an intelligent voice platform and smart room assistant for improving efficiency and productivity in business. Our objective is to build a Spoken Language Understanding system that maintains high performance in both Automatic Speech Recognition (ASR) and Natural Language Processing while being portable and scalable. In this paper we describe the LinTO architecture and our approach to ASR engine training which takes advantage of recent advances in deep learning while guaranteeing high-performance real-time processing. Unlike the existing solutions, the LinTO platform is open source for commercial and non-commercial use
%U https://aclanthology.org/2020.iwltp-1.14
%P 89-95
Markdown (Informal)
[LinTO Platform: A Smart Open Voice Assistant for Business Environments](https://aclanthology.org/2020.iwltp-1.14) (Rebai et al., IWLTP 2020)
ACL