A method of generating sounds for reducing an effect of tinnitus is disclosed. The method includes the following steps: acquiring a sound frequency of a tinnitus sound of a user, and playing a plurality of pure tones within a frequency range during a playback time, wherein the plurality of pure tones include a plurality of first pure tones and a plurality of second pure tones; the plurality of first pure tones and the sound frequency are located at a first frequency area, and the plurality of second pure tones are located at a second frequency area; the first frequency area covers X Hz, where 100≤X≤12000, the second frequency area covers the remaining portion of the frequency range excluding the first frequency area, and the plurality of first pure tones accounts for M % of the plurality of pure tones, where 50<M≤90.

A method of treating tinnitus comprising measuring a patient's hearing, determining the patient's hearing loss and the patient's tinnitus frequency using the measurements of the patient's hearing, programming a clinical controller with the measurements of the patient's hearing, selecting a plurality of therapeutic tones, where the therapeutic tones are selected to be at least a half-octave above or below of the patient's tinnitus frequency, setting an appropriate volume for each of the plurality of tones, repetitively playing each of the plurality of therapeutic tones, and pairing a vagus nerve stimulation pulse train with each playing of a therapeutic tone, thereby reducing the patient's perception of tinnitus.

An ultrasound signal processor uses an excitation generator to cause displacement of a tympanic membrane while a series of ultrasound pulses are applied to the tympanic membrane. Phase differences between a transmitted signal and received signal are examined to determine the movement of the tympanic membrane in response to the applied excitation. An examination of the phase response of the tympanic membrane provides a determination as to whether the fluid type behind the tympanic membrane is one of: no fluid, serum fluid, or purulent fluid.

In one aspect of the present disclosure, method includes: receiving neural data responsive to a listener's auditory attention; receiving an acoustic signal responsive to a plurality of acoustic sources; for each of the plurality of acoustic sources: generating, from the received acoustic signal, audio data comprising one or more features of the acoustic source, forming combined data representative of the neural data and the audio data, and providing the combined data to a classification network configured to calculate a similarity score between the neural data and the acoustic source using one or more similarity metrics; and using the similarity scores calculated for each of the acoustic sources to identify, from the plurality of acoustic sources, an acoustic source associated with the listener's auditory attention.

Certain embodiments provide a hearing test probe apparatus including a hearing test probe, an eartip, and a microphone. The probe includes a speaker disposed within a probe body, and a mounting stem extending from the probe body and including a speaker sound channel. The eartip is detachably coupled to the mounting stem, and includes an eartip body having an ear insertion end and a probe insertion end opposite the ear insertion end. The eartip body defines a central opening extending from the ear insertion end to the probe insertion end. The central opening includes an eartip sound channel at the ear insertion end and an eartip mounting portion at the probe insertion end. The eartip mounting portion is configured to receive and hold the mounting stem of the probe within the central opening. The microphone is disposed within the eartip when the eartip is detachably coupled to the mounting stem.

A system for providing information to a user includes and/or interfaces with a set of models and/or algorithms. Additionally or alternatively, the system can include and/or interface with any or all of: a processing subsystem; a sensory output device; a user device; an audio input device; and/or any other components. A method for providing information to a user includes and/or interfaces with: receiving a set of inputs; processing the set of inputs to determine a set of sensory outputs; and providing the set of sensory outputs.

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.

A measurement system includes a number of audio transducers configured in a first arrangement for acoustic testing of a subject in a testing position, one or more sensors for collecting measurement data characterizing a position of a subject's head relative to the audio transducers, a controller for processing the measurement data to determine feedback data characterizing a difference between the position of the subject's head and the testing position, and a feedback indicator for presenting the feedback data to the subject.

Described herein is a software-based simulator to provide speech and hearing students the ability to perform hearing screening training using a realistic interface similar to devices used to perform these tests, which provides results for Otoscopy, Tympanometry, and Audiometry testing, and assesses the students responses for correctness.

Systems and methods for assisting user with hearing by amplifying sound using an amplifier with gain and amplitude controls for a plurality of frequencies; and applying a learning machine to identify an aural environment and adjust the amplifiers for optimum hearing.