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.

Systems and methods are provided for customizing an auditory prosthesis or other medical device. Customizing the auditory prosthesis includes obtaining and evaluating system data. The system data includes data from multiple sensors, including one or more sensors of an auditory prosthesis and one or more sensors of a recipient computing device. Based on the evaluation of the system data, a target behavior is determined, such as operating the auditory prosthesis in a particular sonic environment or with particular auditory prosthesis settings.

To address the technical problem of varying gain applied to different hearing impaired (HI) patients, a technical solution described herein includes application of a patient-specific noise reduction algorithm based on a patient-specific signal-to-noise ratio (SNR) loss function. HI patients vary in their ability to extract information in a given signal-to-noise ratio (SNR) environment. However, noise reduction algorithms often include a single noise reduction function for all SNR loss functions. For a HI patient with significant SNR-loss, they will receive little noise reduction in SNR conditions where the patient gains no benefit from the sound. Technical solutions described herein includes determining a HI patient's ability to extract information for various SNR values, and then using specific NR algorithm attenuation for specific SNR values according to the HI patient's determined ability to extract information.

A method, including implementing a hearing prosthesis automated assistant on one or more computing devices having one or more processors and memory, the method including, at the one or more computing devices, at an input device, receiving hearing prosthesis recipient input, the input invoking the automated assistant, the input being indicative of a problem associated with a hearing prosthesis of the recipient, interpreting the received recipient input to derive a representation of recipient intent, identifying at least one task based at least in part on the derived representation of user intent, and causing a first output to be provided, the first output providing an attempted solution to the problem.

The present application discloses systems and methods for determining one or more configuration settings for a first hearing prosthesis based on configuration data associated with a second hearing prosthesis. In some embodiments, determining the one or more configuration settings for the first hearing prosthesis may include determining an acoustic operating range associated with the first hearing prosthesis based on whether a configured gain at one or more frequencies for the second hearing prosthesis meets or exceeds a target gain at the one or more frequencies. Some embodiments may also include storing the determined configuration settings in a tangible computer readable memory associated with the first hearing prosthesis.

A method and apparatus for objectively assessing acoustical performance of an in-ear device having a passageway extending there through use a dual microphone probe that removably engages the passageway. The acoustical performance of the in-ear device is performed with the in-ear device inserted into the ear canal of the user and a reference sound source. A clip holding the probe in an acoustic near field of the sound source permits real time calibration thereof. The method and apparatus allow on-site and in-situ measurement of a predicted personal attenuation rating of the device, a subject-fit re-insertion test, an acoustic seal test, a rating test, a stability and reliability test, as well as a protection test of the device with an assessment of a filtered predicted exposure level at the ear for a specific noise exposure level. The apparatus may be simply housed along with the sound source for in-field evaluation tests.

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.

Disclosed herein is an apparatus comprising a camera and a processing unit operatively coupled to the camera, wherein the processing unit is configured to: receive a sequence of images captured by the camera; process a first image of the received sequence of images to compute respective likelihoods of each of a plurality of predetermined facial features being visible in the first image; compute, from the computed likelihoods, a probability that the first image depicts a predetermined first side of a human head; responsive to at least the computed probability exceeding the predetermined detection probability, trigger performance of a predetermined action.

The disclosure relates to a hearing device, e.g., a hearing aid, wherein open-cell foam is compressed between a receiver and a second section, e.g., receiver chamber, of the hearing device, a method for providing such hearing device, and a method for identifying a desired property of such open-cell foam of such hearing device. The hearing device comprises a first section comprising the open-cell foam being compressed, such that the open-cell foam has at least a strain value of a first point of an elastic modulus-strain curve of the open-cell foam and at most the strain value of a third point of the elastic modulus-strain curve, and such that the receiver is connected to the second section via the first section.