An adaptable task-oriented dialog system for stand-alone embedded devices

Long Duong, Vu Cong Duy Hoang, Tuyen Quang Pham, Yu-Heng Hong, Vladislavs Dovgalecs, Guy Bashkansky, Jason Black, Andrew Bleeker, Serge Le Huitouze, Mark Johnson


Abstract
This paper describes a spoken-language end-to-end task-oriented dialogue system for small embedded devices such as home appliances. While the current system implements a smart alarm clock with advanced calendar scheduling functionality, the system is designed to make it easy to port to other application domains (e.g., the dialogue component factors out domain-specific execution from domain-general actions such as requesting and updating slot values). The system does not require internet connectivity because all components, including speech recognition, natural language understanding, dialogue management, execution and text-to-speech, run locally on the embedded device (our demo uses a Raspberry Pi). This simplifies deployment, minimizes server costs and most importantly, eliminates user privacy risks. The demo video in alarm domain is here youtu.be/N3IBMGocvHU
Anthology ID:
P19-3009
Volume:
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: System Demonstrations
Month:
July
Year:
2019
Address:
Florence, Italy
Venue:
ACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
49–57
Language:
URL:
https://aclanthology.org/P19-3009
DOI:
10.18653/v1/P19-3009
Bibkey:
Cite (ACL):
Long Duong, Vu Cong Duy Hoang, Tuyen Quang Pham, Yu-Heng Hong, Vladislavs Dovgalecs, Guy Bashkansky, Jason Black, Andrew Bleeker, Serge Le Huitouze, and Mark Johnson. 2019. An adaptable task-oriented dialog system for stand-alone embedded devices. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pages 49–57, Florence, Italy. Association for Computational Linguistics.
Cite (Informal):
An adaptable task-oriented dialog system for stand-alone embedded devices (Duong et al., ACL 2019)
Copy Citation:
PDF:
https://aclanthology.org/P19-3009.pdf