IP Library Granted Patent US 12,470,880
Granted Patent B2
US 12,470,880 · App. 18/947,760 · Granted Nov 11, 2025

Ear-worn device with neural network-based noise modification and/or spatial focusing

Inventors: Igor Lovchinsky (New York, NY); Israel Malkin (Manhattan Beach, CA); Nathan Agmon (New York, NY); Philip Meyers, IV (San Francisco, CA); Nicholas Morris (Brooklyn, NY)
Assignee: Fortell Research Inc.
H04R25/507H04R25/405H04R25/407H04S7/303H04S2400/11H04S2400/13H04S2400/15
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Quick Facts
Patent No.
US 12,470,880
App. No.
18/947,760
Granted
Nov 11, 2025
Kind
B2
Abstract

An ear-worn device includes two or more microphones and noise reduction circuitry including neural network circuitry. The neural network circuitry is configured to: receive multiple audio signals wherein at least two of the multiple audio signals each originate from a different one of the two or more microphones and/or at least one of the multiple audio signals is a beamformed audio signal originating from the two or more microphones; and implement one or more neural network layers trained to perform background noise modification and spatial focusing based on the multiple audio signals, such that the neural network circuitry generates, based on the multiple audio signals, one or more neural network outputs. The noise reduction circuitry is configured to output, based on the one or more neural network outputs, an output audio signal comprising a background noise-modified and spatially-focused version of a first audio signal of the multiple audio signals.

Claims (22)

1 . An ear-worn device, comprising:

one or more sensors configured to generate one or more sensor inputs based on movement of the ear-worn device; and

control circuitry configured to:

determine, based on the one or more sensor inputs received from the one or more sensors, a degree of head movement; and

generate, based on the degree of head movement, one or more spatial focusing control inputs indicating a spatial focusing pattern,

wherein the control circuitry is configured, when generating the one or more spatial focusing control inputs indicating the spatial focusing pattern based on the degree of head movement, to:

generate a first set of the one or more spatial focusing control inputs indicating a first spatial focusing pattern with a first amount of spatial focusing based on a first degree of head movement; and

generate a second set of the one or more spatial focusing control inputs indicating a second spatial focusing pattern with a second amount of spatial focusing based on a second degree of head movement;

wherein the first amount of spatial focusing is less than the second amount of spatial focusing, and the first degree of head movement is greater than the second degree of head movement.

2 . An car-worn device, comprising:

control circuitry configured to:

determine a signal-to-noise ratio (SNR) of an acoustic environment; and

generate, based on the SNR of the acoustic environment, one or more spatial focusing control inputs indicating a spatial focusing pattern;

wherein the control circuitry is configured, when generating the one or more spatial focusing control inputs indicating the spatial focusing pattern based on the SNR of the acoustic environment, to:

generate a first set of the one or more spatial focusing control inputs indicating a first spatial focusing pattern with a first amount of spatial focusing based on a first SNR of the acoustic environment; and

generate a second set of the one or more spatial focusing control inputs indicating a second spatial focusing pattern with a second amount of spatial focusing based on a second SNR of the acoustic environment;

wherein the first amount of spatial focusing is less than the second amount of spatial focusing, and the first SNR of the acoustic environment is greater than the second SNR of the acoustic environment.

3 . The ear-worn device of claim 1 , wherein the car-worn device is configured to define, using the one or more sensors, a coordinate system comprising an exponential moving average of head orientation.

4 . The ear-worn device of claim 1 , wherein the ear-worn device is configured to broaden a focusing aperture faster than the ear-worn is configured to narrow the focusing aperture.

5 . The ear-worn device of claim 4 , wherein the ear-worn device is configured to modulate a rate at which the focusing aperture is narrowed as a function of how long a wearer looks in a new direction.

6 . The ear-worn device of claim 1 , wherein the ear-worn device is configured to process sounds from a new direction with full weight and process sounds from a previous direction with an exponential moving average.

7 . The ear-worn device of claim 1 , wherein the one or more sensors comprise an accelerometer and/or a gyroscope.

Assignments (1)
CHANGE OF NAME Recorded Oct 9, 2025
From: CHROMATIC INC.
To: FORTELL RESEARCH INC.
Reel/Frame 073065/0936 →
Continuity (7)
Continuation 18794843 · Aug 5, 2024
Continuation In Part 18592720 · Mar 1, 2024
Continuation 18477087 · Sep 28, 2023
Provisional Application 63643957 · May 8, 2024
Provisional Application 63571150 · Mar 28, 2024
Provisional Application 63517755 · Aug 4, 2023
Related Publication 20250080927A1 · Mar 6, 2025
References Cited (31)
US 10304475B1 · Wang · 2019 [cited by examiner]
US 11134351B1 · Lunner · 2021 [cited by applicant]
US 11646009B1 · Chhetri · 2023 [cited by applicant]
US 11678111B1 · Messingher Lang et al. · 2023 [cited by applicant]
US 11711648B2 · Lopatka · 2023 [cited by examiner]
US 20030063759A1 · Brennan et al. · 2003 [cited by applicant]
US 20080212810A1 · Pedersen · 2008 [cited by applicant]
US 20100027820A1 · Kates · 2010 [cited by applicant]
US 20100123785A1 · Chen · 2010 [cited by examiner]
US 20120250916A1 · Hain et al. · 2012 [cited by applicant]
US 20130070935A1 · Hui et al. · 2013 [cited by applicant]
US 20140219471A1 · Deshpande · 2014 [cited by examiner]
US 20160111113A1 · Cho · 2016 [cited by applicant]
US 20170213565A1 · Makinen · 2017 [cited by examiner]
US 20170295439A1 · Xu · 2017 [cited by applicant]
US 20180063654A1 · Kuriger · 2018 [cited by applicant]
US 20180146285A1 · Benattar et al. · 2018 [cited by applicant]
US 20190208317A1 · Woodruff · 2019 [cited by examiner]
US 20190320260A1 · Alders et al. · 2019 [cited by applicant]
US 20190335288A1 · Latypov · 2019 [cited by examiner]
US 20200322735A1 · Mosgaard et al. · 2020 [cited by applicant]
US 20210125625A1 · Huang · 2021 [cited by applicant]
US 20210281958A1 · Diehl et al. · 2021 [cited by applicant]
US 20220058773A1 · Chou et al. · 2022 [cited by applicant]
US 20220070585A1 · Chen · 2022 [cited by applicant]
US 20220124444A1 · Andersen · 2022 [cited by applicant]
US 20220232331A1 · Jelcicova · 2022 [cited by applicant]
US 20230034525A1 · Scheller · 2023 [cited by applicant]
WO 2023136835A1 · 2023 [cited by applicant]
D. Markovic, et al. “Implicit Neural Spatial Filtering for Multichannel Source Separation in the Waveform Domain”, Meta, Reality Labs Research, Pittsburgh Pa, USA, Metal AI Research, Paris, France, Jun. 30, 2022, 5 page… [cited by applicant]
Notification of Transmittal of the International Search Report and the Written Opinion of the International Searching Authority, or the Declaration, dated Jan. 15, 2025. [cited by applicant]