US 11,869,488 B2
Agent device, agent system, and computer-readable storage medium
Chikage Kubo, Chofu (JP); Keiko Nakano, Kawasaki (JP); Eiichi Maeda, Itabashi-ku (JP); and Hiroyuki Nishizawa, Itabashi-ku (JP)
Assigned to TOYOTA JIDOSHA KABUSHIKI KAISHA, Toyota (JP)
Filed by TOYOTA JIDOSHA KABUSHIKI KAISHA, Toyota (JP)
Filed on Nov. 30, 2020, as Appl. No. 17/106,701.
Claims priority of application No. 2019-228518 (JP), filed on Dec. 18, 2019.
Prior Publication US 2021/0193129 A1, Jun. 24, 2021
Int. Cl. G10L 15/18 (2013.01); G10L 15/26 (2006.01); G10L 15/22 (2006.01)
CPC G10L 15/1822 (2013.01) [G10L 15/26 (2013.01); G10L 2015/223 (2013.01); G10L 2015/225 (2013.01)] 15 Claims
OG exemplary drawing
 
1. An agent device comprising:
a processor configured to:
recognize spoken content as text data;
ascertain an intent of the spoken content using a trained model that is generated by performing machine learning employing training data in which text data is input, and an intent label associated with an intent expressed in the text data is output, the trained model being configured to output the intent label if the intent of the spoken content can be ascertained, and output that a corresponding intent label does not exist if the intent of the spoken content cannot be ascertained;
if the trained model outputs the intent outputting response information based on the intent label; and
if the trained model outputs that the corresponding intent label does not exist, and a predetermined word used to identify an individual function pertaining to a vehicle has been recognized in the spoken content, obtain a relevant list that is relevant to the recognized word based on association data that includes association between the individual function pertaining to the vehicle identified by the recognized word and at least one intent label, and output the obtained relevant list as the response information, so as to supplement the output of the trained model.