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. 11, 2026

Filed:

Feb. 06, 2024
Applicant:

GN Audio A/s, Ballerup, DK;

Inventors:

Pejman Mowlaee, Ballerup, DK;

Rasmus Kongsgaard Olsson, Ballerup, DK;

Karim Haddad, Ballerup, DK;

Assignee:

GN AUDIO A/S, Ballerup, DK;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04S 7/00 (2006.01); G10L 21/02 (2013.01); G10L 21/0264 (2013.01); G10L 25/03 (2013.01); G10L 25/27 (2013.01); G10L 25/30 (2013.01); G10L 25/48 (2013.01);
U.S. Cl.
CPC ...
H04S 7/305 (2013.01); H04S 7/301 (2013.01); H04S 2400/09 (2013.01);
Abstract

A computer-implemented method for processing audio input data into processed audio data by using an audio device comprising a microphone, a processor device and a memory holding a plurality of neural networks is presented. The plurality of neural networks are associated with different room types, wherein each room type is associated with one or more reference room acoustic metrics. The method comprises obtaining, by the microphone, room response data, wherein the room response data is reflecting room acoustics of a room in which the audio device is placed, determining, by using the processor device, the one or more room acoustic metrics based on the room response data, and selecting, by using the processor device, a matching neural network among the plurality of neural networks by comparing the one or more room acoustic metrics with the one or more reference room acoustic metrics associated with the different room types associated with the plurality of neural networks.


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