An auditory device assembly (1) comprises an earpiece (3) having an audio output device (7) for an ear (9) of a user and an audio processing unit (11, 33). The audio processing unit (11, 33) has a hearing-test mode and an audio streaming mode. In the hearing test mode the audio processing unit (11, 33) is arranged to determine at least one ear characteristic of the ear of the user based on at least one hearing test. In the audio streaming mode the audio processing unit (11, 33) is arranged to output an audio stream via the audio output device (7). The audio processing unit (11, 33) is arranged to adjust the output of the audio stream in the audio streaming mode based on the at least one ear characteristic determined in the hearing-test mode.

Method for selecting and adjusting in a customised manner a hearing aid comprising the following steps: A. receiving (100) indications on one or more needs of a patient; B. receiving (200) indications from the patient concerning his/her perception of his/her own hearing with respect to listening situations by assigning a respective value on a first value scale; C. performing (300) an audiometric PTA test on the patient, wherein the patient wears a headset and hearing is not assisted by any hearing aid; D. performing (400) an audiometric ANL test on the patient; E. in the case where the resulting value of the audiometric PTA test is not larger than 80 dB, performing (500) an audiometric SPIN test on the patient; F. in the case where the resulting value of the audiometric PTA test is larger than 80 dB, or in the case where the resulting value of the audiometric PTA test is not larger than 80 dB and the resulting value of the SPIN test is larger than 6, performing (600) an audiometric SPIQ test on the patient, wherein the patient wears a headset; G. displaying (700) the resulting values of the audiometric tests performed in steps C, D, E and/or F on a same second value scale; H. selecting (800) one or more available hearing aids, J. automatically determining (900) a related adjustment of operating parameters of the respective signal processing unit to allow meeting the needs determined in step A.

A hearing device, e.g. a hearing aid, comprises first and second hearing device parts having separate first and second housings and being electrically connectable by a connecting element. The second hearing device part is available in a multitude of variants. The connecting element comprises an electric cable comprising a multitude of electric conductors, and a first electric connector comprising a multitude of first electric termination elements. The second hearing device part comprises a loudspeaker, and/or a number of sensors each providing an electric sensor signal representative of a current property of the environment of the hearing device and/or a current state of the user wearing the hearing device. The first hearing device part comprises a configuration extractor electrically connected to said second hearing device part via said connecting element and adapted to identify a current configuration of sensors in said second hearing device part.

The present disclosure describes systems and methods to evaluate auditory efferent function by exposing a patient to short-duration acoustic click stimuli to generate a click-evoked otoacoustic emission (CEOAE) occurring in each ear of the patient, and in response to exposing the patient to click stimuli, concurrently sampling outer hair cell activity (OHC) and medial olivocochlear reflex (MOCR; efferents) in each ear of the patient, monitoring the middle ear muscle reflex (MEMR) in each ear of the patient, and measuring a change in cochlear activity in the patient based on the CEOAE, MOCR, and MEMR of each ear of the patient.

Aspects include identifying each of a plurality of audio sources proximate to a user wearing a headset. The audio sources include a primary audio source and a plurality of background audio sources. Aspects include causing the headset to play a set of audio sources to the user by causing each audio source of the set to be unfiltered by the headset. Aspects include determining an acceptance level of the user. Aspects also include determining a background noise filtering adjustment based on the acceptance level and the set of audio sources being played by the headset to the user. Aspects also include causing the headset to adjust a filtering of one or more of the plurality of background audio sources by the headset based on the background noise filtering adjustment.

Non-invasive methods of detecting hidden hearing loss (cochlear synaptopathy) based on detection of an abnormal ratio of Summating Potential (SP)/Action Potential (AP) (SP/AP) Ratios.

A method and system for of computerized psychometric testing of sensory information that includes selecting stimulus parameters for a first stimulus to be applied with a stimulus inducer, applying a first stimulus on a subject with the stimulus inducer upon command of a processor, calculating a posterior probability function and an acquisition function at least based on the subject's response to the first stimulus with the processor, determining stimulus parameters for a second stimulus based on the calculated acquisition function with the processor, stimulating the subject with the second stimulus with the stimulus inducer upon command of the processor, and determining a detection threshold function by calculating the posterior probability function at least based on the subject's response to the second stimulus with the processor.

Examples of systems and methods described herein may estimate a state of the ear canal of a patient utilizing a smart phone by characterizing acoustic waveforms reflected off the patient's eardrum. Examples may include an acoustic focusing apparatus that may be connected to a smart phone to provide acoustic signals to and receive reflected signals from an ear canal.

An information processing apparatus includes a processor. The processor is configured to output a caution, based on an operation history of a device, the device being worn by a user and emitting sound, and on a judging result regarding whether biological information concerning the user satisfies a condition for hearing loss.

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.