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:
Mar. 01, 2022

Filed:

Jan. 26, 2017
Applicant:

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

Inventors:

Marc Delcroix, Soraku-gun, JP;

Keisuke Kinoshita, Soraku-gun, JP;

Atsunori Ogawa, Soraku-gun, JP;

Takuya Yoshioka, Soraku-gun, JP;

Tomohiro Nakatani, Soraku-gun, JP;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 21/0208 (2013.01); G10L 15/16 (2006.01); G10L 15/06 (2013.01);
U.S. Cl.
CPC ...
G10L 21/0208 (2013.01); G10L 15/063 (2013.01); G10L 15/16 (2013.01); G10L 2021/02082 (2013.01);
Abstract

To begin with, an acoustic model training apparatus extracts speech features representing speech characteristics, and calculates an acoustic-condition feature representing a feature of an acoustic condition of the speech data using an acoustic-condition calculation model that is represented as a neural network, based on an acoustic-condition calculation model parameter characterizing the acoustic-condition calculation model. The acoustic model training apparatus then generates an adjusted parameter that is an acoustic model parameter adjusted based on the acoustic-condition feature, the acoustic model parameter characterizing an acoustic model represented as a neural network to which an output layer of the acoustic-condition calculation model is coupled. The acoustic model training apparatus then updates the acoustic model parameter based on the adjusted parameter and the speech features, and updates the acoustic-condition calculation model parameters based on the adjusted parameter and the speech features.


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