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:
Sep. 27, 2022

Filed:

Jan. 29, 2019
Applicant:

Nippon Telegraph and Telephone Corporation, Tokyo, JP;

Inventors:

Keisuke Kinoshita, Kyoto, JP;

Marc Delcroix, Kyoto, JP;

Tomohiro Nakatani, Kyoto, JP;

Shoko Araki, Kyoto, JP;

Lukas Drude, Paderborn, DE;

Thilo Christoph Von Neumann, Paderborn, DE;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G10L 15/20 (2006.01); G10L 15/32 (2013.01); G10L 21/00 (2013.01); G10L 21/028 (2013.01); G06N 3/08 (2006.01); G10L 21/0308 (2013.01); G10L 25/30 (2013.01);
U.S. Cl.
CPC ...
G10L 21/028 (2013.01); G06N 3/08 (2013.01); G10L 21/0308 (2013.01); G10L 25/30 (2013.01);
Abstract

An estimation device includes a memory, and processing circuitry coupled to the memory and configured to receive an input of an input audio signal that is an audio signal in which sounds from a plurality of sound sources are mixed, and an input of supplemental information, and output an estimation result of mask information that identifies a mask for extracting a sound of any one of the sound sources included in an entire or a part of a signal included in the input audio signal, the signal being identified by the supplemental information, cause a neural network to iterate a process of outputting the estimation result of the mask information, and cause the neural network to output an estimation result of the mask information for a different sound source, by inputting a different piece of the supplemental information to the neural network at each iteration.


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