A hearing aid comprises a) at least one input transducer for providing at least one electric input signal representing said sound; b) an output transducer for providing stimuli perceivable to the user as sound; c) a feedback control system configured to minimize feedback from said output transducer to said at least one input transducer, and to at least provide a feedback corrected version of said at least one electric input signal; and d) an audio signal processor configured to apply one or more processing algorithms to said feedback corrected version of said at least one electric input signal, and to provide a processed signal in dependence thereof. The feedback control system is based on a machine learning model receiving input data at least representing said at least one electric input signal; and said processed signal; and providing said feedback corrected version of the at least one electric input signal as an output. A method of training a machine learning model is further disclosed.

A whistling sound suppression method includes: obtaining an ambient audio signal, the ambient audio signal being a sound signal in a surrounding environment of an earphone; filtering the ambient audio signal according to a preset first filter group to obtain a first audio signal; obtaining an ear canal audio signal, the ear canal audio signal being a sound signal when the first audio signal propagates in an ear canal; and filtering a subsequently obtained ambient audio signal according to a preset second filter group to obtain a second audio signal in response to the ear canal audio signal meets a whistling condition.

The disclosure presents a method and an amplifier system for minimizing variation in an acoustical signal caused by variation in gain of an amplifier, comprising a battery for providing a supply voltage to the amplifier, a digital signal processor for providing the acoustical signal to the amplifier, a controller unit receiving an enablement signal when the supply voltage is in an offset mode, and based on the enablement signal requesting a measured voltage during a time period, and a first analog-to-digital converter configured for measuring the supply voltage to the amplifier when receiving the request from the controller unit or the first analog-to-digital converter is configured for measuring the supply voltage to the amplifier continuously, and where variations in the measured voltage relates to variations in the supply voltage during the time period. Furthermore, the controller unit is configured to predict offset modes (i.e. changes) in the supply voltage based on the enablement signals and a fitting of the measured voltages, and wherein the controller unit is configured to generate a compensating signal based on the fitting and transmit the compensating signal to the digital signal processor, the digital signal processor is then configured to minimize variation in the acoustical signal at the output of the amplifier by compensating the variation in gain of the amplifier based on the compensating signal.

A reverberation condition is detected affecting an electronic hearing device. The hearing device receives sound from a microphone and provides amplified sound to an in-ear receiver. The reverberation condition is predicted to impact clarity of the amplified sound. A sound processing capability is determined that will affect the reverberation. The sound processing capability is applied to the amplified sound and includes one or more of expansion, compression, and directionality processing. In response to detecting the reverberation condition, at least one of the following is performed: enabling the sound processing capability with a reverberation mitigation setting if the sound processing capability is currently disabled; or changing the sound processing capability to the reverberation mitigation setting from a default setting if the sound processing capability is currently enabled. The reverberation mitigation setting is removed when the reverberation condition is no longer detected.

Systems and methods for detecting when a device is placed into an operational position are disclosed. Upon determination that the device is in the operational position, one or more processes can be executed. Execution or initialization of the processes upon detection of the operational position provides for the determination of optimal settings than would otherwise be determined if the processes automatically executed before detection of the operational position. Further aspects of the present disclosure relate to determining when the device is no longer in an operational position upon which time the execution of the processes are terminated. The settings in place upon termination can be saved and reapplied the next time the device is in the operational position.

The present disclosure provides a method for obtaining a vibration transfer function from a sound generation unit to other positions. The method comprises: generating a first sound and a second sound based on a first test audio signal and a second test audio signal; outputting a first feedback signal after receiving the first sound, the first feedback signal including a signal transmitted from a sound generation unit to a first position through vibration transmission path and air conduction transmission path; outputting a second feedback signal after receiving the second sound, the second feedback signal including a signal transmitted from the sound generation unit to a second position through air conduction transmission path; determining the vibration transfer function from the sound generation unit to the first position based on the first test audio signal, the second test audio signal, the first feedback signal, and the second feedback signal.

The disclosure generally relates to a method, system and apparatus to improve a user's understanding of speech in real-time conversations by processing the audio through a neural network contained in a hearing device. The hearing device may be a headphone or hearing aid. In one embodiment, the disclosure relates to an apparatus to enhance incoming audio signal. The apparatus includes a controller to receive an incoming signal and provide a controller output signal; a neural network engine (NNE) circuitry in communication with the controller, the NNE circuitry activatable by the controller, the NNE circuitry configured to generate an NNE output signal from the controller output signal; and a digital signal processing (DSP) circuitry to receive one or more of controller output signal or the NNE circuitry output signal to thereby generate a processed signal; wherein the controller determines a processing path of the controller output signal through one of the DSP or the NNE circuitries as a function of one or more of predefined parameters, incoming signal characteristics and NNE circuitry feedback.

A method including obtaining data based on a current and/or anticipated future state of a hearing prosthesis and adjusting a set gain margin of the hearing prosthesis based on the current or anticipated future state of the hearing prosthesis.

Disclosed herein are systems and methods for eardrum acoustic pressure estimation for hearing device applications. A receiver signal is produced through a receiver of a hearing device, or a physical extension of the receiver, placed inside an ear canal of a user. A microphone signal is sensed, in response to the receiver signal, using a microphone placed outside the ear canal. Based on the receiver signal and the microphone signal, a reliability signal of the microphone signal and a feedback-path signal are computed. A spectral representation signal of the feedback-path signal is computed, and a real-ear response signal is computed using a mathematical combination of the spectral-representation signal and the reliability signal. The computed real-ear response signal is used to modify an operational characteristic of the hearing device, or to make a recommendation for modification of an operational characteristic or a physical characteristic of the hearing device.

A whistling sound suppression method includes: obtaining an ambient audio signal, the ambient audio signal being a sound signal in a surrounding environment of an earphone; filtering the ambient audio signal according to a preset first filter group to obtain a first audio signal; obtaining an ear canal audio signal, the ear canal audio signal being a sound signal when the first audio signal propagates in an ear canal; and filtering a subsequently obtained ambient audio signal according to a preset second filter group to obtain a second audio signal in response to the ear canal audio signal meets a whistling condition.