Real World Voice Assistant System for Cooking

Takahiko Ito, Shintaro Inuzuka, Yoshiaki Yamada, Jun Harashima


Abstract
This study presents a voice assistant system to support cooking by utilizing smart speakers in Japan. This system not only speaks the procedures written in recipes point by point but also answers the common questions from users for the specified recipes. The system applies machine comprehension techniques to millions of recipes for answering the common questions in cooking such as “人参はどうしたらよいですか (How should I cook carrots?)”. Furthermore, numerous machine-learning techniques are applied to generate better responses to users.
Anthology ID:
W19-8663
Volume:
Proceedings of the 12th International Conference on Natural Language Generation
Month:
October–November
Year:
2019
Address:
Tokyo, Japan
Venue:
INLG
SIG:
SIGGEN
Publisher:
Association for Computational Linguistics
Note:
Pages:
508–509
Language:
URL:
https://aclanthology.org/W19-8663
DOI:
10.18653/v1/W19-8663
Bibkey:
Cite (ACL):
Takahiko Ito, Shintaro Inuzuka, Yoshiaki Yamada, and Jun Harashima. 2019. Real World Voice Assistant System for Cooking. In Proceedings of the 12th International Conference on Natural Language Generation, pages 508–509, Tokyo, Japan. Association for Computational Linguistics.
Cite (Informal):
Real World Voice Assistant System for Cooking (Ito et al., INLG 2019)
Copy Citation:
PDF:
https://aclanthology.org/W19-8663.pdf