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:
Aug. 19, 2025

Filed:

Jan. 27, 2020
Applicant:

Nippon Telegraph and Telephone Corporation, Tokyo, JP;

Inventors:

Atsushi Ando, Tokyo, JP;

Hosana Kamiyama, Tokyo, JP;

Satoshi Kobashikawa, Tokyo, JP;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 25/63 (2013.01); G10L 15/02 (2006.01); G10L 15/06 (2013.01); G10L 15/16 (2006.01); G10L 15/07 (2013.01); G10L 25/03 (2013.01); G10L 25/06 (2013.01); G10L 25/09 (2013.01); G10L 25/12 (2013.01); G10L 25/18 (2013.01); G10L 25/21 (2013.01); G10L 25/24 (2013.01); G10L 25/30 (2013.01);
U.S. Cl.
CPC ...
G10L 15/06 (2013.01); G10L 15/02 (2013.01); G10L 15/16 (2013.01); G10L 25/63 (2013.01); G10L 15/063 (2013.01); G10L 15/075 (2013.01); G10L 25/03 (2013.01); G10L 25/06 (2013.01); G10L 25/09 (2013.01); G10L 25/12 (2013.01); G10L 25/18 (2013.01); G10L 25/21 (2013.01); G10L 25/24 (2013.01); G10L 25/30 (2013.01);
Abstract

Paralinguistic information is estimated with high accuracy even when an utterance for which it is difficult to identify paralinguistic information is used for model learning. An acoustic feature extraction unitextracts an acoustic feature from an utterance. An anti-teacher decision unitdecides, based on a paralinguistic information label indicating a determination result of paralinguistic information given by a plurality of listeners for each utterance, an anti-teacher label indicating an anti-teacher serving as incorrect paralinguistic information for the utterance. An anti-teacher estimation model learning unitlearns, based on an acoustic feature extracted from the utterance and the anti-teacher label, an anti-teacher estimation model for outputting a posterior probability of anti-teacher for an input acoustic feature.


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