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公开(公告)号：US20250111855A1
公开(公告)日：2025-04-03
申请号：US18887076
申请日：2024-09-17
Applicant: GN Audio A/S
Inventor： Pejman MOWLAEE , Diego Caviedes NOZAL
IPC: G10L19/002 , G06F3/16 , G10L25/30 , G10L25/69
Abstract: An audio device comprising one or more processors comprising a decoder and a first signal processor, wherein the audio device is configured to: obtain an audio input signal from a transmitter device, where the audio input signal is an encoded audio input signal encoded based on one or more encoder parameters; decode the audio input signal using the decoder and one or more decoder parameters for provision of a decoder output signal; obtain codec information indicative of the one or more encoder parameters and/or the one or more decoder parameters; and process, using the first signal processor and based on the codec information, the decoder output signal for provision of a first signal processor output signal, wherein to process the decoder output signal using the first signal processor comprises to process the decoder output signal using the first signal processor by applying the generative model for codec information-based processing.
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公开(公告)号：US12266357B2
公开(公告)日：2025-04-01
申请号：US17542542
申请日：2021-12-06
Applicant: GN Audio A/S
Inventor： Florian Eyben , Christian Lillelund , Anders Hvelplund , Ali Özkil
Abstract: Voice coaching system, voice coaching device, and related methods, in particular a method of operating a voice coaching system comprising a voice coaching device is disclosed, the method comprising obtaining audio data representative of one or more voices, the audio data including first audio data of a first voice; obtaining first voice data based on the first audio data; determining whether the first voice data satisfies a first training criterion; in accordance with determining that the first voice data satisfies the first training criterion, determining a first training session; outputting, via the interface of the voice coaching device, first training information indicative of the first training session.
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公开(公告)号：US12250515B2
公开(公告)日：2025-03-11
申请号：US17899639
申请日：2022-08-31
Applicant: GN Audio A/S
Inventor： Konstantinos Gkanos , Jacob Reimert
Abstract: Disclosed herein are examples of an in-ear audio device comprising a speaker cavity containing a speaker, a resonator comprising a resonator cavity and a resonator vent, wherein the resonator cavity is in fluid communication with the speaker cavity via the resonator vent, and a microphone comprising a microphone inlet, wherein the speaker cavity is in fluid communication with the microphone inlet via the resonator.
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Patent Agency Ranking
公开(公告)号：USD1057799S1
公开(公告)日：2025-01-14
申请号：US29875358
申请日：2023-05-03
Applicant: GN Audio A/S
Designer： Rasmus Breitholtz , Ian Raymond Mahaffy , Jonna Ager-Wick , Casper Asmussen , Iain Scott Pottie , Karson Shadley
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公开(公告)号：US20240319955A1
公开(公告)日：2024-09-26
申请号：US18604624
申请日：2024-03-14
Applicant: GN Audio A/S
Inventor： Clément LAROCHE , Diego Caviedes NOZAL
Abstract: An audio device comprising memory, an interface, and one or more processors, wherein the one or more processors are configured to obtain audio data; process the audio data for provision of an audio output; process the audio data for provision of one or more audio parameters indicative of one or more characteristics of the audio data; map the one or more audio parameters to a first latent space of a first neural network for provision of a mapping parameter indicative of whether the one or more audio parameters belong to a training manifold of the first latent space; determine, based on the mapping parameter, an uncertainty parameter indicative of an uncertainty of processing quality; and control the processing of the audio data for provision of the audio output based on the uncertainty parameter.
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公开(公告)号：USD1032512S1
公开(公告)日：2024-06-25
申请号：US29865732
申请日：2022-08-09
Applicant: GN Audio A/S
Designer： Rasmus Trudslev Pedersen , Iain Scott Pottie, Jr.
Abstract: FIG. 1 is a Top Front Left perspective view of a case for communication equipment
FIG. 2 is a Bottom Rear Right perspective view thereof
FIG. 3 is a Front view thereof
FIG. 4 is a Rear view thereof
FIG. 5 is a Left view thereof
FIG. 6 is a Right view thereof
FIG. 7 is a Top view thereof; and,
FIG. 8 is a Bottom view thereof.
The broken lines depict portions of a case for communication equipment that form no part of the claimed design.-
公开(公告)号：US20240171697A1
公开(公告)日：2024-05-23
申请号：US18424685
申请日：2024-01-26
Applicant: GN AUDIO A/S
Inventor： Naveed ALAM , John ZHANG , Aurangzeb KHAN
CPC classification number: H04N5/272 , G06V20/40 , G06V30/32 , G06V40/107 , G09B5/02
Abstract: Embodiments of the present invention disclose techniques for outputting content aware video based on at least one a video application use case. The technique recognizes objects associated with the use case and performs enhancement of the objects based on content-aware rules, and composes at least some of the objects in an output frame based on on content-aware frame composition templates. Embodiments of the present invention also disclose systems for implementing the above techniques.
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公开(公告)号：US20240155301A1
公开(公告)日：2024-05-09
申请号：US17981192
申请日：2022-11-04
Applicant: GN Audio A/S
Inventor： Bolaji James ADESOKAN , Allan Mejlgren VON BÜLOW
CPC classification number: H04R29/005 , G10L25/84 , H04R3/005
Abstract: Audio device and method for operating an audio device is disclosed, the audio device. A processor is configured to: obtain a first microphone input signal and a second microphone input signal; process the first microphone input signal and the second microphone input signal for provision of an output signal; and output the output signal, then obtain a first microphone signal and a second microphone signal; determine a gain compensation scheme based on the first microphone signal and the second microphone signal; and compensate a gain of the microphone signals; wherein to determine the gain compensation scheme comprises to: apply a plurality of test compensation schemes to the first microphone signal and the second microphone signal; determine a performance parameter for each of the test compensation schemes; and select the gain compensation scheme based on the performance parameters.
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