Presented herein are techniques that use acoustic scene (environmental) analysis to determine the sound class of sound signals received at a hearing prosthesis and, accordingly, assess the estimated listening difficulty that the acoustic environment presents to a recipient of the hearing prosthesis. This difficulty of the recipient's listening situation can be used to adjust, adapt, or otherwise set the resolution of the electrical stimulation signals delivered to the recipient to evoke perception of the sound signals. In other words, the resolution of the electrical stimulation signals is dynamically adapted based on the present acoustic environment of the hearing prosthesis.

A hearing aid system comprises a hearing aid, and a portable auxiliary device' adapted to establish a communication link between them. The hearing aid comprises a microphone providing an electric input signal, a signal processor, and an output unit. The auxiliary device comprises a microphone providing an auxiliary electric input signal, and a user control interface allowing a user to initiate a specific calibration mode of operation of the hearing aid system. The signal processor of the hearing aid is configured to receive corresponding time segments of said electric input signal and said auxiliary electric input signal to provide an estimate of an acoustic transfer function from said microphone of said auxiliary device to said microphone of said hearing aid. A method of operating a hearing aid system is further disclosed. The invention may e.g. be used in various applications related to own voice detection and estimation.

The present disclosure relates to compact hearing aids, components thereof, and support systems therefor, as well as methods of insertion and removal thereof. The compact hearing aids generally include a sensor, such as a microphone, an actuation mass, an energy source for providing power to the compact hearing aid, a processor, and an actuator enclosed in a housing that is designed to be inserted through the tympanic membrane during a minimally-invasive outpatient procedure. In operation, the microphone receives sound waves and converts the sound waves into electrical signals. A processor then modifies the electrical signals and provides the electrical signals to the actuator. The actuator converts the electrical signals into mechanical motion, which actuates the actuation mass to modulate the velocity or the position of the tympanic membrane.

Presented herein are techniques for enhancing a hearing prosthesis recipient's perception of multiple frequencies present in received sound signals. The hearing prosthesis is configured to extract a plurality of frequencies from the received sound signals and to use the plurality of frequencies to modulate the amplitudes of different stimulation pulse sequences that are to be delivered to the recipient via different stimulation channels. The hearing prosthesis may also adapt a stimulation resolution of the stimulation pulse sequences when delivering the modulated stimulation pulses sequences to the recipient.

A hearing device comprises an input transducer comprising a microphone for providing an electric input signal representative of sound in the environment of the hearing device, a pre-processor for processing electric input signal and providing a multitude of feature vectors, each being representative of a time segment thereof, a neural network processor adapted to implement a neural network for implementing a detector configured to provide an output indicative of a characteristic property of the at least one electric input signal, the neural network being configured to receive said multitude of feature vectors as input vectors and to provide corresponding output vectors representative of said output of said detector in dependence of said input vectors. The hearing device further comprises a transceiver comprising a transmitter and a receiver for establishing a communication link to another part or device or server, at least in a particular adaptation-mode of operation, and a selector for—in said particular adaptation—mode of operation—routing said feature vectors to said transmitter for transmission to said another part or device or server, and—in a normal mode of operation—to route said feature vectors to said neural network processor for use as inputs to said neural network, a neural network controller connected to said neural network processor for—in said particular adaptation-mode of operation—receiving optimized node parameters, and to apply said optimized node parameters to said nodes of said neural network to thereby implement an optimized neural network in said neural network processor, wherein the optimized node parameters have been selected among a multitude of sets of node parameters for respective candidate neural networks according to a predefined criterion in dependence of said feature vectors. A method of selecting optimized parameters for a neural network for use in a portable hearing device is further disclosed. The invention may e.g. be used in hearing aids or headsets, or similar, e.g. wearable, devices.

An aspect of the disclosure is to provide a method and a hearing aid system comprising; a microphone unit configured to receive an acoustical input and provide an audio signal based on the acoustical input, and wherein the audio signal includes a sound pressure level; a storing unit including a normal hearing loudness model, a loudness scheme, a stimulation model and a coding parameter model; a sound output unit configured to stimulate auditory nerve fibers of a recipient of the hearing aid system based on audible stimulations; a processing unit configured to; extract a normal hearing loudness based on the sound pressure level and the normal hearing loudness model, and the normal hearing loudness model includes a plurality of normal hearing loudness as a function of a plurality of sound pressure levels; transform the normal hearing loudness to a secondary hearing loudness according to a loudness scheme; determine a stimulation level within a dynamic range of a recipient of the hearing aid system based on the secondary hearing loudness and the stimulation model, where the stimulation model includes a relation between a plurality of stimulation levels and a plurality of secondary hearing loudness; determine one or more stimulation coding parameters based on the coding parameter model, where the coding parameter model includes a relation between the determined stimulation level and the one or more stimulation coding parameters; and wherein the processing unit is configured to generate the audible stimulations based on the determined one or more stimulation coding parameters and provide the audible stimulations via the sound output unit to the auditory nerve fibers of the recipient of the hearing aid system such that the recipient perceives the secondary hearing loudness.

Systems and methods for improved control and performance of cochlear implants are disclosed. In an embodiment, the audio environment is sampled, and a neural network determines suggested filter setting for the cochlear implant. The process is repeated such that, as the user moves through various audio environments having differing noise levels, satisfactory performance of the cochlear implant is maintained for the user.

A hearing aid system comprises a hearing aid, and a portable auxiliary device’ adapted to establish a communication link between them. The hearing aid comprises a microphone providing an electric input signal, a signal processor, and an output unit. The auxiliary device comprises a microphone providing an auxiliary electric input signal, and a user control interface allowing a user to initiate a specific calibration mode of operation of the hearing aid system. The signal processor of the hearing aid is configured to receive corresponding time segments of said electric input signal and said auxiliary electric input signal to provide an estimate of an acoustic transfer function from said microphone of said auxiliary device to said microphone of said hearing aid. A method of operating a hearing aid system is further disclosed. The invention may e.g. be used in various applications related to own voice detection and estimation.

The present disclosure relates to compact hearing aids, components thereof, and support systems therefor, as well as methods of insertion and removal thereof. The compact hearing aids generally include a sensor, such as a microphone, an actuation mass, an energy source for providing power to the compact hearing aid, a processor, and an actuator enclosed in a housing that is designed to be inserted through the tympanic membrane during a minimally-invasive outpatient procedure. In operation, the microphone receives sound waves and converts the sound waves into electrical signals. A processor then modifies the electrical signals and provides the electrical signals to the actuator. The actuator converts the electrical signals into mechanical motion, which actuates the actuation mass to modulate the velocity or the position of the tympanic membrane.

A headpiece including a housing, a headpiece magnet carried by the housing, and a headpiece antenna carried by the housing.