The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jan. 17, 2023

Filed:

Jul. 20, 2018
Applicant:

Nippon Telegraph and Telephone Corporation, Chiyoda-ku, JP;

Inventors:

Atsushi Ando, Yokosuka, JP;

Hosana Kamiyama, Yokosuka, JP;

Satoshi Kobashikawa, Yokosuka, JP;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 25/48 (2013.01); G10L 15/22 (2006.01); G06N 3/08 (2006.01); G10L 15/02 (2006.01); G10L 15/06 (2013.01); G10L 15/10 (2006.01); G10L 25/63 (2013.01); G06F 40/20 (2020.01); G10L 15/16 (2006.01);
U.S. Cl.
CPC ...
G10L 25/48 (2013.01); G06F 40/20 (2020.01); G06N 3/08 (2013.01); G10L 15/02 (2013.01); G10L 15/063 (2013.01); G10L 15/10 (2013.01); G10L 15/22 (2013.01); G10L 25/63 (2013.01); G10L 15/16 (2013.01);
Abstract

Estimation accuracies of a conversation satisfaction and a speech satisfaction are improved. A learning data storage unit () stores learning data including a conversation voice containing a conversation including a plurality of speeches, a correct answer value of a conversation satisfaction for the conversation, and a correct answer value of a speech satisfaction for each speech included in the conversation. A model learning unit () learns a satisfaction estimation model using a feature quantity of each speech extracted from the conversation voice, the correct answer value of the speech satisfaction, and the correct answer value of the conversation satisfaction, the satisfaction estimation model configured by connecting a speech satisfaction estimation model part that receives a feature quantity of each speech and estimates the speech satisfaction of each speech with a conversation satisfaction estimation model part that receives at least the speech satisfaction of each speech and estimates the conversation satisfaction.


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