METHOD AND APPARATUS FOR AUTOMATIC CORRECTION OF REAL EAR MEASUREMENTS

    公开(公告)号:US20240334136A1

    公开(公告)日:2024-10-03

    申请号:US18744354

    申请日:2024-06-14

    Abstract: Disclosed herein are systems and methods for automatic correction of real ear measurements (REMs). A sound signal is produced through a receiver of a hearing device, and a sound pressure signal is sensed using a microphone placed inside the ear canal. The sound pressure signal is transformed to obtain a frequency response signal, a local minimum of the frequency response signal is detected above a programmable frequency level, and a spectral flatness of the frequency response signal is calculated in a selected frequency band surrounding the local minimum. If the spectral flatness is greater than a selected threshold value, acoustic correction is applied to the frequency response in the selected frequency band using an estimated transfer function to obtain a corrected sound pressure frequency response. The corrected sound pressure frequency response is used to modify, or make a recommendation to modify, a physical or operational characteristic of the hearing device.

    METHOD AND APPARATUS FOR AUTOMATIC CORRECTION OF REAL EAR MEASUREMENTS

    公开(公告)号:US20230009826A1

    公开(公告)日:2023-01-12

    申请号:US17811467

    申请日:2022-07-08

    Abstract: Disclosed herein are systems and methods for automatic correction of real ear measurements (REMs). A sound signal is produced through a receiver of a hearing device, and a sound pressure signal is sensed using a microphone placed inside the ear canal. The sound pressure signal is transformed to obtain a frequency response signal, a local minimum of the frequency response signal is detected above a programmable frequency level, and a spectral flatness of the frequency response signal is calculated in a selected frequency band surrounding the local minimum. If the spectral flatness is greater than a selected threshold value, acoustic correction is applied to the frequency response in the selected frequency band using an estimated transfer function to obtain a corrected sound pressure frequency response. The corrected sound pressure frequency response is used to modify, or make a recommendation to modify, a physical or operational characteristic of the hearing device.

    Apparatus and method for estimation of eardrum sound pressure based on secondary path measurement

    公开(公告)号:US11558703B2

    公开(公告)日:2023-01-17

    申请号:US17490057

    申请日:2021-09-30

    Abstract: Secondary path measurements and associated acoustic transducer-to-eardrum responses are obtained from test subjects. Both a least squares estimate and a reduced dimensionality estimate are determined that both estimate a relative transfer function between the secondary path measurements and the associated acoustic transducer-to-eardrum responses. An individual secondary path measurement for a user is performed based on a test signal transmitted via a hearing device into an ear canal of the user. An individual cutoff frequency for the individual secondary path measurement is determined. First and second acoustic transducer-to-eardrum responses below and above the cutoff frequency are determined using the individual secondary path measurement and the least squares estimate. A sound pressure level at an eardrum of the user can be predicted using the first and second receiver-to-eardrum responses.

    Hearing device with feedback instability detector that changes an adaptive filter

    公开(公告)号:US12192705B2

    公开(公告)日:2025-01-07

    申请号:US17912915

    申请日:2021-04-06

    Inventor: Wenyu Jin Ivo Merks

    Abstract: An adaptive feedback canceller of an ear-wearable device has an adaptive foreground filter that inserts a feedback cancellation signal into a digitized input signal to produce an error signal. An instability detector of the device is configured to extract wo or more features from the error signal. The instability detector has a machine learning module that determines instability in the error signal based on the two or more features. The instability module changes the adaptive foreground filter in response to determining the instability. The change causes the adaptive foreground filter to have a faster adaptation to perturbations in the error signal compared to a previously used step size.

    Method and apparatus for automatic correction of real ear measurements

    公开(公告)号:US12041418B2

    公开(公告)日:2024-07-16

    申请号:US17811467

    申请日:2022-07-08

    Abstract: Disclosed herein are systems and methods for automatic correction of real ear measurements (REMs). A sound signal is produced through a receiver of a hearing device, and a sound pressure signal is sensed using a microphone placed inside the ear canal. The sound pressure signal is transformed to obtain a frequency response signal, a local minimum of the frequency response signal is detected above a programmable frequency level, and a spectral flatness of the frequency response signal is calculated in a selected frequency band surrounding the local minimum. If the spectral flatness is greater than a selected threshold value, acoustic correction is applied to the frequency response in the selected frequency band using an estimated transfer function to obtain a corrected sound pressure frequency response. The corrected sound pressure frequency response is used to modify, or make a recommendation to modify, a physical or operational characteristic of the hearing device.

    HEARING DEVICE WITH FEEDBACK INSTABILITY DETECTOR THAT CHANGES AN ADAPTIVE FILTER

    公开(公告)号:US20230143347A1

    公开(公告)日:2023-05-11

    申请号:US17912915

    申请日:2021-04-06

    Inventor: Wenyu Jin Ivo Merks

    CPC classification number: H04R25/453 H04R25/507 G10K11/17817 G10K11/17825

    Abstract: An adaptive feedback canceller of an ear-wearable device has an adaptive foreground filter that inserts a feedback cancellation signal into a digitized input signal to produce an error signal. An instability detector of the device is configured to extract wo or more features from the error signal. The instability detector has a machine learning module that determines instability in the error signal based on the two or more features. The instability module changes the adaptive foreground filter in response to determining the instability. The change causes the adaptive foreground filter to have a faster adaptation to perturbations in the error signal compared to a previously used step size.

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