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:
Nov. 03, 2020

Filed:

Jun. 20, 2019
Applicant:

Casio Computer Co., Ltd., Tokyo, JP;

Inventors:

Makoto Danjyo, Saitama, JP;

Fumiaki Ota, Tokyo, JP;

Masaru Setoguchi, Tokyo, JP;

Atsushi Nakamura, Tokyo, JP;

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G10H 1/00 (2006.01); G10H 7/00 (2006.01);
U.S. Cl.
CPC ...
G10H 1/0008 (2013.01); G10H 7/004 (2013.01); G10H 7/008 (2013.01); G10H 2210/121 (2013.01); G10H 2210/165 (2013.01); G10H 2210/191 (2013.01); G10H 2210/201 (2013.01); G10H 2210/231 (2013.01); G10H 2220/221 (2013.01); G10H 2230/025 (2013.01); G10H 2250/015 (2013.01); G10H 2250/311 (2013.01); G10H 2250/455 (2013.01);
Abstract

An electronic musical instrument includes: a memory that stores a trained acoustic model obtained by performing machine learning on training musical score data and training singing voice data of a singer; and at least one processor, wherein the at least one processor: in accordance with a user operation on an operation element in a plurality of operation elements, inputs prescribed lyric data and pitch data corresponding to the user operation of the operation element to the trained acoustic model so as to cause the trained acoustic model to output the acoustic feature data in response to the inputted prescribed lyric data and the inputted pitch data, and digitally synthesizes and outputs inferred singing voice data that infers a singing voice of the singer on the basis of the acoustic feature data output by the trained acoustic model.


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