Yu-Heng Hong
2019
An adaptable task-oriented dialog system for stand-alone embedded devices
Long Duong
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Vu Cong Duy Hoang
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Tuyen Quang Pham
|
Yu-Heng Hong
|
Vladislavs Dovgalecs
|
Guy Bashkansky
|
Jason Black
|
Andrew Bleeker
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Serge Le Huitouze
|
Mark Johnson
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: System Demonstrations
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
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- Long Duong 1
- Vu Cong Duy Hoang 1
- Tuyen Quang Pham 1
- Vladislavs Dovgalecs 1
- Guy Bashkansky 1
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