APPARATUS AND METHOD FOR ESTIMATION OF EARDRUM SOUND PRESSURE BASED ON SECONDARY PATH MEASUREMENT

    公开(公告)号:WO2022115154A1

    公开(公告)日:2022-06-02

    申请号:PCT/US2021/052794

    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 MOTION SENSOR USED TO DETECT FEEDBACK PATH INSTABILITY

    公开(公告)号:WO2021242571A1

    公开(公告)日:2021-12-02

    申请号:PCT/US2021/032928

    申请日:2021-05-18

    Abstract: An audio input signal is digitized via circuitry of an ear-wearable device. An adaptive feedback canceller has an adaptive filter producing an output that is inserted into the digitized audio input signal to cancel feedback. A motion detector provides a motion signal indicative of motion of the ear-wearable device. A processor is operable to determine a change in a feedback path based on the motion signal. The processor causes the adaptive filter to have faster adaption in response to the change in the feedback path is above a first threshold. The processor also causes the adaptive filter to have slower adaption in response to the change in the feedback path being below a second threshold.

    PREDICTING GAIN MARGIN IN A HEARING DEVICE USING A NEURAL NETWORK

    公开(公告)号:EP4287659A1

    公开(公告)日:2023-12-06

    申请号:EP23176519.9

    申请日:2023-05-31

    Abstract: A hearing device includes a microphone that produces an audio input signal and a loudspeaker that outputs an amplified audio signal into an ear canal. A signal processing path is coupled to the microphone and the loudspeaker. The signal processing path includes a deep neural network configured to predict an instantaneous gain margin of the hearing device based on a set of inputs. The set of inputs includes a first parameter of the audio input signal, a second parameter of the amplified audio signal, and a gain of the signal processing path. A feedback reduction module of the device receives the predicted instantaneous gain margin and adjusts feedback reduction parameters to reduce an onset of feedback in the hearing device

    APPARATUS AND METHOD FOR ESTIMATION OF EARDRUM SOUND PRESSURE BASED ON SECONDARY PATH MESUREMENT

    公开(公告)号:EP4489433A2

    公开(公告)日:2025-01-08

    申请号:EP24206691.8

    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.

    APPARATUS AND METHOD FOR SPEECH ENHANCEMENT AND FEEDBACK CANCELLATION USING A NEURAL NETWORK

    公开(公告)号:EP4243449A3

    公开(公告)日:2023-12-27

    申请号:EP23161044.5

    申请日:2023-03-09

    Abstract: A hearing device includes a deep/recurrent neural network trained to jointly perform sound enhancement and feedback cancellation. During training a neural network is connected between a simulated input and a simulated output of the hearing device. The neural network is operable to change a response affecting the simulated output. The neural network is trained by applying the simulated input to the deep neural network while applying the feedback path response between the simulated input and the simulated output. The deep-neural network is trained to reduce an error between the simulated output and the reference audio signal and used for sound enhancement in the device.

    APPARATUS AND METHOD FOR SPEECH ENHANCEMENT AND FEEDBACK CANCELLATION USING A NEURAL NETWORK

    公开(公告)号:EP4243449A2

    公开(公告)日:2023-09-13

    申请号:EP23161044.5

    申请日:2023-03-09

    Abstract: A hearing device includes a deep/recurrent neural network trained to jointly perform sound enhancement and feedback cancellation. During training a neural network is connected between a simulated input and a simulated output of the hearing device. The neural network is operable to change a response affecting the simulated output. The neural network is trained by applying the simulated input to the deep neural network while applying the feedback path response between the simulated input and the simulated output. The deep-neural network is trained to reduce an error between the simulated output and the reference audio signal and used for sound enhancement in the device.

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