公开(公告)号：US20230421973A1

公开(公告)日：2023-12-28

申请号：US18367017

申请日：2023-09-12

Applicant: STARKEY LABORATORIES, INC.

Inventor： Joao Felipe Santos ,  Tao Zhang ,  Yan Zhao ,  Buye Xu ,  Ritwik Giri

IPC: H04R25/00 ,  G10L25/30 ,  G10L25/48 ,  G10L21/0208 ,  G10L15/16 ,  G10L25/84

CPC classification number: H04R25/50 ,  G10L25/30 ,  G10L25/48 ,  A61N1/36039 ,  H04R25/507 ,  G10L15/16 ,  G10L25/84 ,  G10L21/0208

Abstract: A method, comprising receiving at least one sound at an electronic device. The at least one sound is enhanced for the at least one user based on a compound metric. The compound metric is calculated using at least two sound metrics selected from an engineering metric, a perceptual metric, and a physiological metric. The engineering metric comprises a difference between an output signal and a desired signal. At least one of the perceptual metric and the physiological metric is based at least in part on input sensed from the at least one user in response to the received at least one sound.

公开(公告)号：US20220353622A1

公开(公告)日：2022-11-03

申请号：US17647532

申请日：2022-01-10

Applicant: Starkey Laboratories, Inc.

Inventor： Kelly Fitz ,  Tao Zhang ,  Buye Xu ,  Mohammad Abdollahi

IPC: H04R25/00 ,  G10L25/84 ,  G06N3/08

Abstract: Disclosed herein, among other things, are apparatus and methods for neural network-driven frequency translation for hearing assistance devices. Various embodiments include a method of signal processing an input signal in a hearing assistance device, the hearing assistance device including a receiver and a microphone. The method includes performing neural network processing to train a processor to identify acoustic features in a plurality of audio signals and predict target outputs for the plurality of audio signals, and using the trained processor to control frequency translation of the input signal.

公开(公告)号：US20220248970A1

公开(公告)日：2022-08-11

申请号：US17600370

申请日：2020-04-02

Applicant: Starkey Laboratories, Inc.

Inventor： Justin R. Burwinkel ,  Buye Xu ,  Jason A. Galster ,  Lauren Petley ,  Peter J. Tetrick ,  Sourav K. Bhunia ,  Peggi S. Cross ,  Martin McKinney

IPC: A61B5/0205 ,  A61B5/00 ,  A61B5/16 ,  A61B5/021 ,  A61B5/024 ,  A61B5/11 ,  A61B5/145 ,  A61B5/1455 ,  A61B3/113 ,  G08B21/04

Abstract: Various embodiments of a monitoring system are disclosed. The monitoring system includes first and second sensors each adapted to detect a characteristic of a subject of the system and generate data representative of the characteristic of the subject, and a controller operatively connected to the first and second sensors. The controller is adapted to receive data representative of first and second characteristics of the subject from the first and second sensors, and determine statistics for first and second condition substates of the subject over a monitoring time period based upon the data received from the first and second sensors. The controller is further adapted to compare the statistics of the first and second condition substates, confirm the first condition substate if it is substantially similar to the second condition substate, and determine the statistics of an overall condition state of the subject based upon the confirmed first condition substate.

公开(公告)号：US20210243536A1

公开(公告)日：2021-08-05

申请号：US17302102

申请日：2021-04-23

Applicant: Starkey Laboratories, Inc.

Inventor： Buye Xu ,  Ivo Merks ,  Frederic Philippe Denis Mustiere

IPC: H04R25/00 ,  A61N1/36

Abstract: A hearing system performs nonlinear processing of signals received from a plurality of microphones using a neural network to enhance a target signal in a noisy environment. In various embodiments, the neural network can be trained to improve a signal-to-noise ratio without causing substantial distortion of the target signal. An example of the target sound includes speech, and the neural network is used to improve speech intelligibility.

公开(公告)号：US20200268315A1

公开(公告)日：2020-08-27

申请号：US16802113

申请日：2020-02-26

Applicant: Starkey Laboratories, Inc.

Inventor： Justin R. Burwinkel ,  Peter J. Tetrick ,  Buye Xu

IPC: A61B5/00 ,  G16H40/67 ,  G16H20/10

Abstract: Embodiments herein relate to systems, devices and methods for managing pharmacological therapeutics and aspects of the same. In an embodiment, a hearing assistance device can include a control circuit, an electroacoustic transducer for generating sound in electrical communication with the control circuit, a power supply circuit in electrical communication with the control circuit, and a sensor package in electrical communication with the control circuit. The control circuit can be configured to evaluate a signal from at least one of the sensors of the sensor package to detect administration of a therapy or receive data indicating that administration of a therapy has taken place. The control circuit can also be configured to record an instance of a detected medication administration event along with a timestamp. Other embodiments are also included herein.

公开(公告)号：US10575103B2

公开(公告)日：2020-02-25

申请号：US15092487

申请日：2016-04-06

Applicant: Starkey Laboratories, Inc.

Inventor： Kelly Fitz ,  Tao Zhang ,  Buye Xu ,  Mohammad Abdollahi

IPC: H04R25/00 ,  G10L25/84 ,  G06N3/08

Abstract: Disclosed herein, among other things, are apparatus and methods for neural network-driven frequency translation for hearing assistance devices. Various embodiments include a method of signal processing an input signal in a hearing assistance device, the hearing assistance device including a receiver and a microphone. The method includes performing neural network processing to train a processor to identify acoustic features in a plurality of audio signals and predict target outputs for the plurality of audio signals, and using the trained processor to control frequency translation of the input signal.

公开(公告)号：US20200059740A1

公开(公告)日：2020-02-20

申请号：US16662931

申请日：2019-10-24

Applicant: Starkey Laboratories, Inc.

Inventor： Buye Xu ,  Ivo Merks ,  Frederic Philippe Denis Mustiere

IPC: H04R25/00 ,  A61N1/36

Abstract: A hearing system performs nonlinear processing of signals received from a plurality of microphones using a neural network to enhance a target signal in a noisy environment. In various embodiments, the neural network can be trained to improve a signal-to-noise ratio without causing substantial distortion of the target signal. An example of the target sound includes speech, and the neural network is used to improve speech intelligibility.

公开(公告)号：US20180233018A1

公开(公告)日：2018-08-16

申请号：US15895311

申请日：2018-02-13

Applicant: Starkey Laboratories, Inc.

Inventor： Justin R. Burwinkel ,  Buye Xu ,  Jason A. Galster

IPC: G08B21/04 ,  A61B5/00 ,  A61B5/11

CPC classification number: G08B21/0446 ,  A61B5/0002 ,  A61B5/0015 ,  A61B5/0205 ,  A61B5/1117 ,  A61B5/6803 ,  A61B5/7275 ,  A61B5/746 ,  G08B21/043 ,  G08B21/0453 ,  G08B21/0492 ,  G16H40/63 ,  G16H50/30

Abstract: Various embodiments of a beacon that can be utilized with a fall prediction system and a method of utilizing such system are disclosed. The fall prediction system includes a head-worn device for a user, a beacon adapted to detect a hazard and generate a beacon signal based on the detected hazard, and a controller operatively connected to the head-worn device and the beacon. The controller is adapted to determine a fall risk value based on the beacon signal. At least one of the beacon and the controller are further adapted to transmit the beacon signal to the user.

公开(公告)号：US12254755B2

公开(公告)日：2025-03-18

申请号：US15895311

申请日：2018-02-13

Applicant: Starkey Laboratories, Inc.

Inventor： Justin R. Burwinkel ,  Buye Xu ,  Jason A. Galster

IPC: G08B21/04 ,  A61B5/00 ,  A61B5/11 ,  G16H40/63 ,  A61B5/0205 ,  G16H50/30

Abstract: Various embodiments of a beacon that can be utilized with a fall prediction system and a method of utilizing such system are disclosed. The fall prediction system includes a head-worn device for a user, a beacon adapted to detect a hazard and generate a beacon signal based on the detected hazard, and a controller operatively connected to the head-worn device and the beacon. The controller is adapted to determine a fall risk value based on the beacon signal. At least one of the beacon and the controller are further adapted to transmit the beacon signal to the user.

公开(公告)号：US20240007800A1

公开(公告)日：2024-01-04

申请号：US18347979

申请日：2023-07-06

Applicant: Starkey Laboratories, Inc.

Inventor： Kelly Fitz ,  Tao Zhang ,  Buye Xu ,  Mohammad Abdollahi

IPC: H04R25/00 ,  G10L25/84 ,  G06N3/08

CPC classification number: H04R25/353 ,  H04R25/507 ,  G10L25/84 ,  H04R25/55 ,  G06N3/08 ,  H04R2225/021 ,  H04R2225/023 ,  H04R2225/025

Abstract: Disclosed herein, among other things, are apparatus and methods for neural network-driven frequency translation for hearing assistance devices. Various embodiments include a method of signal processing an input signal in a hearing assistance device, the hearing assistance device including a receiver and a microphone. The method includes performing neural network processing to train a processor to identify acoustic features in a plurality of audio signals and predict target outputs for the plurality of audio signals, and using the trained processor to control frequency translation of the input signal.