TY - GEN
T1 - An adaptable task-oriented dialog system for stand-alone embedded devices
AU - Duong, Long
AU - Hoang, Vu Cong Duy
AU - Pham, Tuyen Quang
AU - Hong, Yu-Heng
AU - Dovgalecs, Vladislavs
AU - Bashkansky, Guy
AU - Black, Jason
AU - Bleeker, Andrew
AU - Huitouze, Serge Le
AU - Johnson, Mark
N1 - Copyright the Publisher 2019. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.
PY - 2019/7
Y1 - 2019/7
N2 - 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
AB - 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
UR - http://www.scopus.com/inward/record.url?scp=85084078554&partnerID=8YFLogxK
U2 - 10.18653/v1/P19-3009
DO - 10.18653/v1/P19-3009
M3 - Conference proceeding contribution
SN - 9781950737499
T3 - ACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics, Proceedings of System Demonstrations
SP - 49
EP - 57
BT - Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
A2 - Costa-jussà, Marta R.
A2 - Alfonseca, Enrique
PB - Association for Computational Linguistics (ACL)
CY - Florence, Italy
T2 - Annual Meeting of the Association for Computational Linguistics (57th : 2019)
Y2 - 28 July 2019 through 2 August 2019
ER -