Jason Black


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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
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