A method for preparing an audiogram of a test subject by use of a hearing instrument. A sound signal is recorded in an auditory canal of the test subject at least partially closed by the hearing instrument by a first electroacoustic input transducer of the hearing instrument. A first input signal is generated therefrom. A test sound is generated by an electroacoustic output transducer of the hearing instrument and output into the auditory canal of the test subject at least partially closed by the hearing instrument. A hearing threshold of the test subject at at least one test frequency is ascertained on a basis of a reaction of the test subject to the test sound and by use of the first input signal.

A device, system and related methods to provide assessment and treatment of amblyaudia through standardized methods that do not require advanced training or a booth with loudspeakers for the operator to administer. The ARIA stimuli protocols for both assessment and treatment, encoded in or to be used by a software program or application, are transferred to a stand-alone set of specialized noise-cancelling headphones attached or connected to, wired or wirelessly, a software platform on an electronic computing device. or integrated with the headphones. The program administers assessment tests to individuals through the noise-cancelling earphones. The device enables someone with minimal instructions to administer automatically or semi-automatically both assessment and treatment protocols, generate results, make interpretations, store data, and produce reports. The device or system may be loaded with standard protocols for English-speaking individuals, as well as dichotic speech material in any language.

An over-the-ear hearing assessment device and a method for evaluating the performance of over-the-ear hearing devices are described. An exemplary over-the-ear hearing assessment device includes an ear cup defining an interior volume and positionable at least partially over the ear of a user. The ear cup includes a shell, a cushion, and an acoustic port extending from an exterior to the interior volume of the ear cup. The acoustic port is sealably engagable with a microphone.

A method of, and system for, predicting conductive hearing loss risk in a person. The method includes utilizing, by using a processor, at least the following as inputs to a prediction model: (A) at least one first air conduction value for the person, and (B) any one of (a) a second air conduction value in noise for the person for in-phase binaural stimuli, or (b) a third air conduction value in noise for the person for antiphasic binaural stimuli. The method further includes predicting, by using the processor and an output of the prediction model, whether the person has a risk of conductive hearing loss. The method may be implemented without the need for bone conduction audiometry or any other clinical test to determine conductive hearing loss. The prediction model may be a logistic regression model.

An optimization system for testing a patient's hearing comprises a controller, an ear piece, and a memory. The controller: provides a series of tones to the ear piece; receives feedback from the patient between each tone; generates a data point to be used in an audiogram after receiving each feedback; after each data point is generated, computes a statistical distribution based on the generated data points; identifies an area of the statistical distribution most in need of additional data; and selects a subsequent tone to provide in the series of tones. Each feedback indicates whether the respective tone was detected or not detected, and each data point is based on the respective feedback. Each subsequent tone provided in the series of tones is a tone represented in the area of the statistical distribution most in need of additional data at the time of selection.

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.

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.

This application relates to audiometric testing techniques. An example implementation is based on audibly providing a target word to a user and receiving a response of what the user audibly perceived in text form. The text is then converted into phonemes and compared with phonemes of the target word. In many examples, the process is repeated for multiple target words. The resulting comparison data can be used to determine the user's ability to hear and can be the basis for one or more treatment actions if the results reveal the user may suffer from hearing loss. The treatment actions can include providing the user with a hearing device or modifying an existing hearing device of the user.

A method for providing an auditory program according to an embodiment of the present disclosure may include: decoding, by a processor, first audiovisual data including a target sound to be aurally perceived by a user and an ambient sound reflecting a real-life environment, and playing back the first audiovisual data through a display and a speaker; receiving, by the processor, the user's input based on the result of aural perception of the target sound from the user through a user interface; and changing, by the processor, at least one of parameters of the audiovisual data, based on the user's input, and playing back the audiovisual data through the speaker or the display, or determining a fitting parameter of an assistive listening device, based on the user's input.

Hearing management, using a portable device or integrated portable devices, can include generating during a hearing diagnostics phase an audiogram based on responses of a user to signals conveyed to the user. In response to detecting ambient noises during the hearing diagnostics phase, noise cancellation can be performed to cancel the ambient noises in conjunction with conveying the signals to the user. During a hearing enhancement phase, sounds can be captured with the portable device. The captured sounds can be enhanced in real-time during the hearing enhancement phase by amplifying select frequencies of the captured sounds using signal gain. The frequencies can be selected, and the signal gain determined based on the audiogram. The captured sounds, now enhanced, can be conveyed to the user as frequency-enhanced sounds.