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
- Editors:
- Georg Rehm, Kalina Bontcheva, Khalid Choukri, Jan Hajič, Stelios Piperidis, Andrejs Vasiļjevs
- Venue:
- IWLTP
- SIG:
- Publisher:
- European Language Resources Association
- Note:
- Pages:
- 89–95
- Language:
- English
- URL:
- https://aclanthology.org/2020.iwltp-1.14
- DOI:
- Cite (ACL):
- Ilyes Rebai, Sami Benhamiche, Kate Thompson, Zied Sellami, Damien Laine, and Jean-Pierre Lorré. 2020. LinTO Platform: A Smart Open Voice Assistant for Business Environments. In Proceedings of the 1st International Workshop on Language Technology Platforms, pages 89–95, Marseille, France. European Language Resources Association.
- Cite (Informal):
- LinTO Platform: A Smart Open Voice Assistant for Business Environments (Rebai et al., IWLTP 2020)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-2/2020.iwltp-1.14.pdf