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    ACCOUSTIC FEEDBACK PATH MODELING FOR HEARING ASSISTANCE DEVICE
    1.
    发明申请
    ACCOUSTIC FEEDBACK PATH MODELING FOR HEARING ASSISTANCE DEVICE 审中-公开
    听力辅助装置的原因反馈路径建模

    公开(公告)号：WO2018049405A1

    公开(公告)日：2018-03-15

    申请号：PCT/US2017/051187

    申请日：2017-09-12

    Applicant: STARKEY LABORATORIES, INC. ,  GIRI, Ritwik ,  MUSTIERE, Fred ,  ZHANG, Tao

    Inventor： GIRI, Ritwik ,  MUSTIERE, Fred ,  ZHANG, Tao

    IPC: H04R25/00

    CPC classification number: H04R25/453 ,  H04R25/70

    Abstract: A system and method of determining a filter to cancel feedback signals from input signals in a hearing assistance device includes determining feedback signals for a plurality of feedback paths associated with the device, and determining a model of the plurality of feedback paths, with the model having an invariant portion and a time varying portion. A probable structure of the invariant portion is determined to generate a structural constraint to constrain the plurality of feedback paths, and probability distributions to impose the structural constraint on the invariant portion are determined. During an iterative process, the invariant portion is iteratively determined using the determined probability distributions and the feedback path measurements. A measurement noise variance representative of model mismatch is updated, for each iteration, to reduce a probability of a non-desirable determination of an invariant filter, and the invariant filter is determined in response to a criterion for ending the iterative process being satisfied.

    Abstract translation: 确定用于从助听设备中的输入信号中消除反馈信号的滤波器的系统和方法包括：确定与设备相关联的多个反馈路径的反馈信号;以及确定多个 的反馈路径，模型具有不变部分和时变部分。 确定不变部分的可能结构以产生约束多个反馈路径的结构约束，并且确定对不变部分施加结构约束的概率分布。 在迭代过程期间，使用所确定的概率分布和反馈路径测量来迭代地确定不变部分。 代表模型失配的测量噪声方差针对每次迭代被更新，以减少非期望确定不变滤波器的可能性，并且响应于用于结束迭代过程的标准被满足而确定不变滤波器。 / p>

    EAR-WORN ELECTRONIC DEVICE INCORPORATING ANNOYANCE MODEL DRIVEN SELECTIVE ACTIVE NOISE CONTROL
    2.
    发明申请
    EAR-WORN ELECTRONIC DEVICE INCORPORATING ANNOYANCE MODEL DRIVEN SELECTIVE ACTIVE NOISE CONTROL 审中-公开

    公开(公告)号：WO2019089530A1

    公开(公告)日：2019-05-09

    申请号：PCT/US2018/058129

    申请日：2018-10-30

    Applicant: STARKEY LABORATORIES, INC.

    Inventor： GIRI, Ritwik ,  HELWANI, Karim ,  ZHANG, Tao

    IPC: H04R25/00

    Abstract: A system comprises an ear-worn electronic device configured to be worn by a wearer. The ear-worn electronic device comprises a processor and memory coupled to the processor. The memory is configured to store an annoying sound dictionary representative of a plurality of annoying sounds pre-identified by the wearer. A microphone is coupled to the processor and configured to monitor an acoustic environment of the wearer. A speaker or a receiver is coupled to the processor. The processor is configured to identify different background noises present in the acoustic environment, determine which of the background noises correspond to one or more of the plurality of annoying sounds, and attenuate the one or more annoying sounds in an output signal provided to the speaker or receiver.

    ACCOUSTIC FEEDBACK PATH MODELING FOR HEARING ASSISTANCE DEVICE
    3.
    发明申请
    ACCOUSTIC FEEDBACK PATH MODELING FOR HEARING ASSISTANCE DEVICE 审中-公开

    公开(公告)号：WO2018049405A9

    公开(公告)日：2018-03-15

    申请号：PCT/US2017/051187

    申请日：2017-09-12

    Applicant: STARKEY LABORATORIES, INC. ,  GIRI, Ritwik ,  MUSTIERE, Fred ,  ZHANG, Tao

    Inventor： GIRI, Ritwik ,  MUSTIERE, Fred ,  ZHANG, Tao

    IPC: H04R25/00

    Abstract: A system and method of determining a filter to cancel feedback signals from input signals in a hearing assistance device includes determining feedback signals for a plurality of feedback paths associated with the device, and determining a model of the plurality of feedback paths, with the model having an invariant portion and a time varying portion. A probable structure of the invariant portion is determined to generate a structural constraint to constrain the plurality of feedback paths, and probability distributions to impose the structural constraint on the invariant portion are determined. During an iterative process, the invariant portion is iteratively determined using the determined probability distributions and the feedback path measurements. A measurement noise variance representative of model mismatch is updated, for each iteration, to reduce a probability of a non-desirable determination of an invariant filter, and the invariant filter is determined in response to a criterion for ending the iterative process being satisfied.

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