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:
Feb. 10, 2026

Filed:

Dec. 30, 2021
Applicant:

Harman International Industries, Incorporated, Stamford, CT (US);

Inventors:

Andrey Igorevich Epishin, Nizhny Novgorod, RU;

Anastasia Mikhaylovna Filchenkova, Nizhny Novgorod, RU;

Mikhail Sergeevich Kleshnin, Nizhny Novgorod, RU;

Joy Lyons, Lake Forest Park, WA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04S 7/00 (2006.01); G06T 7/73 (2017.01);
U.S. Cl.
CPC ...
H04S 7/304 (2013.01); G06T 7/73 (2017.01); H04S 7/301 (2013.01); G06T 2207/10028 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30196 (2013.01); H04S 2420/01 (2013.01);
Abstract

Computer-implemented method for determining a personalized head-related transfer function, the method comprising: receiving a training dataset comprising one or more training images of ears of one or more first users, a training input vector indicative of one or more first directions relative to the first user's head, and one or more values of the personalized head-related directional function related to the first users and the first directions; training an artificial neural network on the training dataset; receiving an inference dataset comprising an inference image of a second user's ear or a pair of inference images of the second user's ears, and an inference input vector indicative of a second direction relative to the second user's head; and processing the inference dataset by the artificial neural network to predict one or more personalized values of the directional function, the values related to the second user and the second direction.


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