HEARING DEVICE WITH FEEDBACK INSTABILITY DETECTOR THAT CHANGES AN ADAPTIVE FILTER

    公开(公告)号:WO2021207134A1

    公开(公告)日:2021-10-14

    申请号:PCT/US2021/025886

    申请日:2021-04-06

    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 two 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.

    ADAPTIVE BINAURAL BEAMFORMING WITH PRESERVATION OF SPATIAL CUES IN HEARING ASSISTANCE DEVICES

    公开(公告)号:WO2019222534A1

    公开(公告)日:2019-11-21

    申请号:PCT/US2019/032717

    申请日:2019-05-16

    Abstract: A hearing assistance system obtains a first input audio signal that is based on sound received by a first set of microphones. The system also obtains a second input audio signal that is based on sound received by a second, different set of microphones. A first adaptive beamformer generates a first output audio signal based on the first input audio signal, the second input audio signal, and a value of a first parameter. A second adaptive beamformer generates a second output audio signal based on the first input audio signal, the second input audio signal, and a value of a second parameter. The value of the first parameter and the value of the second parameter are determined such that a magnitude squared coherence (MSC) of the first output audio signal and the second output audio signal is less than or equal to the coherence threshold.

    HEARING DEVICE WITH NEURAL NETWORK-BASED MICROPHONE SIGNAL PROCESSING
    6.
    发明公开
    HEARING DEVICE WITH NEURAL NETWORK-BASED MICROPHONE SIGNAL PROCESSING 审中-公开
    基于神经网络的麦克风信号处理的听力装置

    公开(公告)号:EP3229496A1

    公开(公告)日:2017-10-11

    申请号:EP17165255.5

    申请日:2017-04-06

    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.

    Abstract translation: 听力系统使用神经网络对从多个麦克风接收的信号进行非线性处理,以增强嘈杂环境中的目标信号。 在各种实施例中,可训练神经网络以改善信噪比而不导致目标信号的实质失真。 目标声音的一个例子包括语音,神经网络用于提高语音清晰度。

    METHOD AND APPARATUS FOR ROBUST ACOUSTIC FEEDBACK CANCELLATION
    8.
    发明公开
    METHOD AND APPARATUS FOR ROBUST ACOUSTIC FEEDBACK CANCELLATION 审中-公开
    用于鲁棒声学反馈消除的方法和设备

    公开(公告)号:EP3288285A1

    公开(公告)日:2018-02-28

    申请号:EP17188032.1

    申请日:2017-08-25

    Abstract: The present subject matter can improve robustness of performance of acoustic feedback cancellation in the presence of strong acoustic disturbances. In various embodiments, an optimization criterion determined to enhance robustness of an adaptive feedback canceller in an audio device against disturbances in an incoming audio signal can be applied such that the adaptive feedback controller remains in a converged state in response to presence of the disturbances.

    Abstract translation: 本主题可以在存在强烈的声学干扰的情况下提高声学反馈消除的性能的鲁棒性。 在各种实施例中,可以应用被确定为增强音频设备中的自适应反馈消除器对输入音频信号中的干扰的鲁棒性的优化标准,使得自适应反馈控制器响应于干扰的存在而保持在收敛状态。

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