Disclosed herein, among other things, are systems and methods for a user adjustment interface using remote computing resources. Specifically, a system can include a mobile device in communication with a hearing assistance device or a remote server. The mobile device can interpret an acoustic environment and send information about the environment to a remote server. The remote server can determine and send information to the mobile device for use in a user interface. The mobile device can receive a user selection of hearing assistance parameter information to be sent to the hearing assistance device.

A method of defining and setting a nonlinear signal processing of a hearing device, e.g. a hearing aid, by machine learning is provided. The hearing device being configured to be worn by a user at or in an ear or to be fully or partially implanted in the head at an ear of the user, the method comprising providing at least one electric input signal representing at least one input sound signal from an environment of a hearing device user, determining a normal-hearing representation of said at least one electric input signal based on a normal-hearing auditory model, determining a hearing-impaired representation of said at least one electric input signal based on a hearing-impaired auditory model, determining optimised training parameters by machine learning, where determining optimised training parameters comprises iteratively adjusting the training parameters, and comparing the normal-hearing representation with the hearing-impaired representation to determine a degree of matching between the normal-hearing representation and the hearing-impaired representation, until the degree of matching fulfils predetermined requirements, and, when the degree of matching fulfils the predetermined requirements, determining corresponding signal processing parameters of the hearing device based on the optimised training parameters. A hearing device is further provided.

Embodiments herein relate to systems, devices and methods for managing pharmacological therapeutics and aspects of the same. In an embodiment, a hearing assistance device can include a control circuit, an electroacoustic transducer for generating sound in electrical communication with the control circuit, a power supply circuit in electrical communication with the control circuit, and a sensor package in electrical communication with the control circuit. The control circuit can be configured to evaluate a signal from at least one of the sensors of the sensor package to detect administration of a therapy or receive data indicating that administration of a therapy has taken place. The control circuit can also be configured to record an instance of a detected medication administration event along with a timestamp. Other embodiments are also included herein.

A hearing aid system comprising at least a first hearing aid, wherein the first hearing aid is configured to establish a communication link over the internet with a remote entity based on a protocol stack, wherein the protocol stack includes an internet protocol, and the protocol stack is implemented in the first hearing aid.

The disclosure relates to a hearing system comprising a first hearing device and a second hearing device configured to be worn at a respective ear of a user, each hearing device comprising a displacement sensor configured to provide respective displacement data indicative of a rotational displacement and/or a translational displacement of the hearing device, and a processing unit communicatively coupled to the displacement sensors. The disclosure further relates to a corresponding method of operating a hearing system, and a computer-readable medium storing instructions to perform the method.

Embodiments herein relate to audio systems including an ear-worn device and providing for remote audio stream management. In an embodiment, an audio system is included having an ear-worn device. The audio system can be configured to receive a notification regarding availability of a remote audio stream, query a wearer of the ear-worn device regarding the remote audio stream, receive an input from the wearer of the ear-worn device regarding the remote audio stream, selectively receive the remote audio stream, and selectively play the remote audio stream through the electroacoustic transducer. Other embodiments are also included herein.

In an audio apparatus including a first device and a second device that each receive the same audio data transmitted from a source device, a device having the worse reception environment of the audio data out of the first device and the second device, operates as a primary device that performs a retransmission request for the audio data to the source device, and a device having the better reception environment operates as a secondary device that performs the retransmission request for the audio data to the primary device.

A system may obtain a set of features characterizing a segment of inertial measurement unit (IMU) data generated by an IMU of an ear-wearable device. The system may apply a machine learning model (MLM) that takes the features characterizing the segment of the IMU data as input. The system may determine, based on output values produced by the MLM, whether a user of the ear-wearable device has potentially been subject to physical abuse. The system may then perform an action in response to determining that the user of the ear-wearable device has potentially been subject to physical abuse.

A hearing device to be worn at least partly behind an ear of a user, comprising a housing; and a radio-frequency antenna arranged at least partly inside the housing is disclosed. The radio-frequency antenna is configured to receive and/or transmit electromagnetic radio-frequency signals, wherein the radio-frequency antenna comprises: at least one first antenna element with a plate like first surface, wherein the first antenna element has a feed for electrically connecting the radio-frequency antenna, and wherein the first antenna element has a ground.

The present disclosure discloses an assistive listening device. The assistive listening device includes a signal input module configured to receive an initial sound and convert the initial sound into an electric signal, a signal processing module configured to process the electric signal and generate a control signal, and at least one output energy converter configured to convert the control signal into a bone conduction sound wave that can be perceived by a user and an air conduction sound wave that can be heard by the user's ears. Within a target frequency range, the air conduction sound wave is transmitted to the user's ears, so that a sound intensity of the air conduction sound heard by the user's ears is greater than a sound intensity of the initial sound received by the signal input module.