LinTO Platform: A Smart Open Voice Assistant for Business Environments

Ilyes Rebai, Sami Benhamiche, Kate Thompson, Zied Sellami, Damien Laine, Jean-Pierre Lorré


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
Anthology ID:
2020.iwltp-1.14
Volume:
Proceedings of the 1st International Workshop on Language Technology Platforms
Month:
May
Year:
2020
Address:
Marseille, France
Venues:
IWLTP | LREC | WS
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
89–95
Language:
English
URL:
https://aclanthology.org/2020.iwltp-1.14
DOI:
Bibkey:
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PDF:
https://aclanthology.org/2020.iwltp-1.14.pdf