The automated determination of an individual function of a DPOAE level map with p.sub.dp,I=f(L.sub.1, L.sub.2) of human or animal hearing. The method may include reading into a main memory a model function with model parameters of a DPOAE level map, based upon a number of N DPOAE measurements of a stimulation frequency pair with respectively different level pairs in a population (p) of a population of normally hearing subjects, automatically presenting n different level pairs of a stimulation frequency pair via tone output means to an individual and detecting the corresponding DPOAE's of the individual via tone recording means, wherein at least the first level pair is predefined, iteratively adapting the model function to the measured n DPOAE's until an individual function is obtained with individual parameters of a DPOAE level map of the individual, outputting the individual function and/or its individual parameters.

The present disclosure relates to a method and system for determining the sensitivity of a first microphone, the method comprising providing an acoustic coupler having at least one internal cavity configured such that a sound field can be generated within the cavity, the cavity being further in acoustic communication with a reference microphone configured to measure the reference sound pressure at a given position in said cavity, the cavity being further provided with an inlet opening configured to establish acoustic communication between the sound inlet of said first microphone, the sensitivity of which is to be determined.

Generally, a method performed by one or more processing devices includes generating a graphical user interface that when rendered on a display of the one or more processing devices renders a visual representation of an environment and a visual representation of an object in the environment; retrieving an auditory stimulus with one or more auditory attributes indicative of a location of a virtual target in the environment; receiving information specifying movement of the object in the environment; determining, based on the movement of the object, a proximity of the object to the virtual target; adjusting, based on the proximity, one or more values of the one or more auditory attributes of the auditory stimulus; and causing the one or more processing devices to play the auditory stimulus using the adjusted one or more values.

An apparatus and method are provided to determine a parameter using an auditory model of a hearing loss patient. The parameter determination apparatus determines a similarity between a neurogram of a normal subject and a neurogram of a hearing loss patient, and determines an optimal frequency band for the hearing loss patient based on the similarity.

Presented herein are techniques for performing automated Electrocochleography (ECoG) testing using ambient sound signals received by a hearing prosthesis during normal operation (i.e., outside of a clinical setting). In particular, the hearing prosthesis analyzes ambient sound signals to identify portions of the sound signals that are conducive/suitable to the performance of an ECoG measurement (i.e., an ECoG measurement structure). When an ECoG measurement structure is identified, the hearing prosthesis itself performs an ECoG measurement using one or more implanted electrodes.

There is provided a method for determining a noise exposure level associated as the cause of an observed evolution of hearing acuity of an individual of known gender. The method comprises the following steps: 1) providing a first audiogram of the individual measured at age X and a second audiogram of the individual measured at age Y; 2) inputting the individual's gender, age X, and a time period equal to Y−X in a statistical hearing threshold levels evolution prediction formula; 3) calculating projected hearing loss audiograms specific to each of a plurality of possible noise level exposure values, using the prediction formula; 4) comparing a pattern of each calculated projected audiogram with a pattern the second audiogram; 5) selecting the projected audiogram that best fits the second audiogram; and 6) assuming that the noise exposure level value associated with the selected projected audiogram is the noise exposure value that caused the evolution of hearing acuity observed between the first and the second audiograms. There is also provided systems for performing the method and methods for providing services to clients or enabling users regarding determination of real ear noise exposure values.

Various embodiments include, for example, an audio device that operates by selecting one of a plurality of audio files in response to user interaction with a graphical user interface. The selected one of the plurality of audio files is decoded to generate audio output signals for playback of the selected one of the plurality of audio files via an audio output device. Animated auditory system display data is generated in response to the selected one of the plurality of audio files for display via a display device, wherein the animated auditory system display data animates action of at least one simulated cochlea in response to the selected one of the plurality of audio files. Other embodiments are disclosed.

A body worn or implantable hearing prosthesis, including a device configured to capture an audio environment of a recipient and evoke a hearing percept based at least in part on the captured audio environment, wherein the hearing prosthesis is configured to identify, based on the captured audio environment, one or more biomarkers present in the audio environment indicative of the recipient's ability to hear.

A technique for determining one or more equalization parameters includes acquiring, via one or more electrodes, auditory brainstem response (ABR) data associated with a first audio sample and determining, via a processor, one or more equalization parameters based on the ABR data. The technique further includes reproducing a second audio sample based on the one or more equalization parameters, acquiring, via the one or more electrodes, complex auditory brainstem response (cABR) data associated with the second audio sample, and comparing, via the processor, the cABR data to at least one representation of the second audio sample to determine at least one measure of similarity. The technique further includes modifying the one or more equalization parameters based on the at least one measure of similarity.

A method for detection of an evoked response signal in noise including: generating a plurality of stimuli; receiving a noisy signal related to an evoked response to the plurality of stimuli; divide the noisy signal into a plurality of responses to the plurality of stimuli; estimate a statistic matrix for the plurality of responses; shrink the statistic matrix; calculate weights based on an inverse of the shrunk statistic matrix; apply weights to the plurality of responses to construct a final response; and output the final response. An apparatus having an input device configured to receive data related to a plurality of stimuli; and a processor configured to: receive a noisy signal and divide the noisy signal into a plurality of responses; estimate a statistic matrix; shrink the statistic matrix; calculate weights based on an inverse of the shrunk statistic matrix; and apply weights to the plurality of responses to construct a final response.