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.

Method for setting parameters for individual adaptation of an audio signal, including: performing a first listening test with the substeps: playing a plurality of first audio signals having different levels; obtaining feedback per frequency range from an individual which of the plurality of first acoustic signals is above an individual listening threshold; and using the lowest level of the different levels for which feedback is available as a level for the individual listening threshold per frequency range; performing adaptation of a second audio signal with the substeps: playing the second audio signal according to a total volume level considering a sound adaptation characteristic map; and varying the sound adaptation characteristic wherein the levels for the individual listening thresholds are used as minimum output levels in the sound adaptation characteristic map.

The present disclosure relates to a system and method for establishing a bond for allowing secure communication between a hearing aid and an external device. Especially, the system and method allows for establish the bond without one of the device present during the bonding process.

The present disclosure provides systems and method for adjusting the audio output of a wearable device based on an audio gain profile of a user. The wearable device may receive an audiogram indicating one or more frequency ranges associated with hearing loss. The wearable device may determine the audio gain profile based on the audiogram. The wearable device may use one or more adjustment modules to determine a gain to apply to the audio output based on the audio gain profile. The adjustment modules may include an active noise control module, a hearing assistance module, and a transparency control module. The wearable device may determine the amount of gain to apply using a least mean square algorithm and/or a machine learning model.

Presented herein are techniques that make use of objective measurements obtained in response to acoustic stimulation signals. More specifically, at least one measure of outer hair cell function and at least one measure of auditory nerve function are obtained from a tonotopic region of an inner ear of a recipient of a hearing prosthesis. The at least one measure of auditory nerve function and the least one measure of outer hair cell function are then analyzed relative to one another.

A hearing aid system (100), wherein changes to the settings is only allowed if a hearing aid performance verification is carried out with a successful result as well as a method of operating such a hearing aid system.

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.

A method for updating a user model and fitting agent for a hearing device system is disclosed, the hearing device system comprising a hearing device worn by a hearing device user, wherein the fitting agent comprises one or more processors configured to initialize a user model comprising a plurality of user preference functions and associated user response distributions, wherein each user preference function is associated with an environment; obtain environment data indicative of a present environment; obtain a test setting comprising a primary test setting and a secondary test setting for the hearing device; present the test setting to the hearing device user; obtain a user input of a preferred test setting indicative of a preference for either the primary test setting or the secondary test setting; and update the user model based on hearing device parameters of the preferred test setting and the environment data.

A method for transmitting information for adapting a hearing aid, in which an inquiry with regard to information of a partial process of the adaptation and/or a partial process of an operation of the hearing aid is transmitted by a first participant to a networked computer infrastructure. The inquiry is checked for conformity by the networked computer infrastructure with a plurality of stored partial process instructions. In the event that conformity with the inquiry is ascertained the corresponding partial process instruction is output to the first participant. In the event that no conformity of one of the stored partial process instructions with the inquiry is ascertained, the inquiry is output to a second participant, a partial process instruction corresponding to the inquiry is created with the co-operation of the second participant, and the partial process instruction corresponding to the inquiry is output to the first participant.

A device and method for improving hearing devices by using computer recognition of words and substituting either computer generated words or pre-recorded words in streaming conversation received from a distant speaker. The system may operate in multiple modes such as a first mode being amplification and conditioning of the voice sounds; a second mode having said microphone pickup up the voice sounds from a speaker, a processor configured to convert voice sounds to discrete words corresponding to words spoken by said speaker, generating a synthesized voice speaking said words and outputting said synthesized voice to said sound reproducing element, which is hearable by the user. Other modes include translation of foreign languages into a user's ear and using a heads up display to project the text version of words which the computer had deciphered or translated. The system may be triggered by eye moment, spoken command, hand movement or similar.