Hearing device, accessory device, and a method of operating a hearing system comprising a hearing device and an accessory device is disclosed, the method comprising obtaining, in the accessory device, an audio input signal representative of audio from one or more audio sources; obtaining image data with a camera of the accessory device; identifying one or more audio sources including a first audio source based on the image data; determining a first model comprising first model coefficients, wherein the first model is based on image data of the first audio source and the audio input signal; and transmitting a hearing device signal to the hearing device, wherein the hearing device signal is based on the first model.

A method of fitting a hearing aid gain (100) adapted to take the vent effect into account. The invention is also directed at a hearing aid fitting system adapted to carry out said method.

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 wo 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.

A hearing device is disclosed, comprising a main microphone, M auxiliary microphones, a transform circuit, a processor, a memory and a post-processing circuit. The transform circuit transforms first sample values in current frames of a main audio signal and M auxiliary audio signals from the microphones into a main and M auxiliary spectral representations. The memory includes instructions to be executed by the processor to perform operations comprising: performing ANC over the first sample values using an end-to-end neural network to generate second sample values; and, performing audio signal processing over the main and the M auxiliary spectral representations using the end-to-end neural network to generate a compensation mask. The post-processing circuit modifies the main spectral representation with the compensation mask to generate a compensated spectral representation, and generates an output audio signal according to the second sample values and the compensated spectral representation.

An audio system for user hearing assessment includes one or more audio capture devices, and processing circuitry. The one or more audio capture devices are configured to capture audio of a conversation of a user and convert the audio to audio signals. The processing circuitry is configured to use the audio signals to identify multiple conditions associated with user hearing difficulty. The conditions include any of words, phrases, frequencies, or phonemes, and environmental audio conditions that are followed by an indication of user hearing difficulty. The processing circuitry is configured to generate a hearing profile for the user based on the identified conditions associated with user hearing difficulty. The processing circuitry is configured to adjust an operation of an audio output device using the hearing profile to reduce a frequency of user hearing difficulty if the user requires audio enhancement.

Methods, hearing systems and neural networks for audio signal processing are described. A hearing system comprises a neural network. An input audio signal is processed into an output audio signal at least partially by means of a processing unit of the hearing system. The audio signal processing of the input audio signal includes executing audio signal processing by the neural network for performing a step of the audio signal processing, determining a confidence parameter resembling the reliability of the audio signal processing by the neural network and steering the audio signal processing in dependence of the confidence parameter. A particularly suitable neural network is configured to solve a regression-based acoustic processing task and additionally determining the confidence parameter.

A method for operating a hearing aid system, the method including: providing an audio stream from a first communication device to a first terminal hearing device through a first wireless communication link, and wherein the audio stream is based on a personalized audibility feature of a predetermined user and an audio reproduction feature of the terminal hearing device; set up a second wireless communication link between the first terminal hearing device and a second communication device; providing the second audio stream through the second wireless communication link, and terminating at least the audio stream of the first communication link.

A communication device is provided including at least one processor coupled between a wireless communication terminal interface and an audio source; and a memory having a personal audibility feature (PAF) file stored therein and coupled to the processor, wherein the processor is configured to provide an audio stream to the wireless communication terminal interface based on a processed audio signal, determined using the audio source, wherein the processing corresponds to the information stored in the PAF file, the PAF file comprising personal auditability feature of a predetermined user and an audio reproduction feature of a predetermined terminal hearing device.

Hearing assistance systems, devices and methods including obtaining, by the device, multiple brain and bio-signals indicative of the auditory and visual attentional focus of the user, obtaining a mixed sound signal from multiple sound sources and applying, by the device, speech-separation and enhancement processing to the mixed sound signal to derive a plurality of separated signals that each contains signals corresponding to different groups of the multiple sound sources, and selecting one of the pluralities of separated signals either solely based on the obtained brain signals, or on a combination of bio-signals, including but not limited to eye gaze direction, head, neck and trunk orientation, etc. The separated signals may then be processed (i.e., amplified, attenuated) based on the needs of the user.

A hearing aid comprises an input transducer configured to convert sound around a user to at least one electrical input signal representing the sound; an output transducer for providing an audible signal based on the at least one electrical input signal; transceiver circuitry configured to establish a wireless audio communication link with a secondary device; and a processor configured to operate the hearing aid in a system mode or a device mode. The hearing aid is configured to initiate establishment of the wireless audio communication link in dependence of a mode control signal. A non-wearable device comprising transceiver circuitry configured for establishing a wireless audio communication link with a hearing aid comprises a processor configured to receive and process at least one electrical input signal from a hearing aid to at least partially compensate for hearing impairment of a user; a power supply interface. The non-wearable device is integrated with another device having a specific other function.