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.

Embodiments herein relate to assistive listening devices and systems for providing audio streams to device wearers within sound fields. In an embodiment an assistive listening device is included having 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 communications circuit in electrical communication with the control circuit. The control circuit can be configured to issue a communication to an audio communication device or audio provisioning device including at least one of a language preference, a set of hearing requirements, data regarding a presentation delay, and an authorization status identifier, digital code, digital token, or digital key specific to a wearer of the assistive listening device. Other embodiments are also included herein.

An own voice suppression apparatus applicable to a hearing aid is disclosed. The own voice suppression apparatus comprises: an air conduction sensor, an own voice indication module and a suppression module. The air conduction sensor is configured to generate an audio signal. The own voice indication module is configured to generate an indication signal according to at least one of user's mouth vibration information and user's voice feature vector comparison result. The suppression module coupled to the air conduction sensor and the own voice indication module is configured to generate an own-voice-suppressed signal according to the indication signal and the audio signal.

A method comprises determining, based on signals from sensors of hearing instruments, current values of context parameters; determining, based on the current values of the context parameters, that a current context of the hearing instruments has changed or is likely to change from a first to a second context of a plurality of contexts, wherein each of the contexts corresponds to a different unique combination of potential values of the context parameters; updating statistics of the contexts, wherein for each of the contexts, the statistics of the context include statistics with respect to time the hearing instruments spent in the context; and based on the determination that the current context of the hearing instruments has changed or is likely to change from the first context to the second context, initiating, based on the statistics of at least one of the first or second contexts, one or more actions.

Systems and methods may be used to determine a fit for a hearing assistance device shell model. For example, a method may include receiving an image of anatomy of a patient including at least a portion of a canal aperture of an ear of the patient, generating a patient model of a portion of the anatomy of the patient, the patient model indicating at least one of a height or width of the canal aperture, and determining, using the patient model, a best fit model from a set of hearing assistance device shell models generated using a machine learning technique. The method may include outputting an identification of the best fit model.

A method for fitting a hearing device comprises: receiving an audio signal in the hearing device; providing a user interface for inputting at least one modifier value into the fitting device, the modifier value indicating, how a sound property of the audio signal should be modified by the hearing device; processing the audio signal with a sound processor of the hearing device in dependence of the at least one modifier value, thus providing a processed audio signal; outputting the processed audio signal to a user of the hearing device; determining an modifier effectiveness value based on the audio signal, the modifier effectiveness value indicating how much a change of the at least one modifier value results in a perceptible change of the processed audio signal output to the user; and restricting the inputting of the at least modifier value in dependence of the modifier effectiveness value.

A method for operating a hearing aid includes providing the hearing aid with an ANC unit and a speech recognition unit. The ANC unit is configured to process multiple frequency ranges and at the same time to suppress noises from the surroundings in each of these frequency ranges using a respectively settable ANC strength. The speech recognition unit recognizes for each of the frequency ranges whether or not speech is present therein. The ANC unit is controlled in such a way that the ANC strength is set for a respective frequency range depending on whether or not the speech recognition unit has recognized speech in that frequency range. A hearing aid having a control unit configured to execute the method is also provided.

Presented herein are techniques for monitoring the sensory outcome of a recipient of a sensory prosthesis in an ambient environment that includes one or more controllable network connected devices. The sensory outcome of the recipient in the environment is used to make operational changes to the one or more controllable network connected devices in order to create an improved environment for recipient.

The present application discloses a sound-output device, a vibration speaker configured to generate a bone-conducted sound wave; and an air-conducted speaker configured to generate an air-conducted sound wave. The vibration speaker is coupled to the air-conducted speaker through a mechanical structure; and the bone-conducted sound wave is input to the air-conducted speaker at least in part as an input signal.

A hearing compensation module disposed in a voice service module includes a control unit, a voice receiving unit, a voice playback unit, a storage unit, and an identity recognition module. The storage unit stores a hearing compensation datum corresponding to a user. The identity recognition module adjusts an access authority of the control unit to the hearing compensation datum. The voice receiving unit receives a first voice message through the user. The control unit converts the first voice message into a second voice message according to the hearing compensation datum. The voice playback unit plays the second voice message to the user.