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.

Presented herein are techniques that make use of objective measurements obtained in response to acoustic stimulation signals. More specifically, at least one measure of outer hair cell function and at least one measure of auditory nerve function are obtained from a tonotopic region of an inner ear of a recipient of a hearing prosthesis. The at least one measure of auditory nerve function and the least one measure of outer hair cell function are then analyzed relative to one another.

A mobile terminal according to an embodiment of the present disclosure includes a microphone configured to obtain and provide an input sound source, an earphone connection module configured to support connection and communication with an earphone, and a hearing aid application configured to set a sound source fitting condition corresponding to a user hearing threshold, convert the input sound source obtained through the microphone into a corrected sound source according to the sound source fitting condition, and then output the corrected sound source to the earphone.

Disclosed herein are method, system, and computer program product embodiments for performing the continuous tuning of received audio input from an earpiece, wherein the audio input is independently altered in the frequency domain for output to an earpiece worn by a user based on tuning profiles chosen by the user, or in combination with power conservation tuning profile auto-switching modes, including a time only and location only mode, switching tuning profiles based on data analyzed from various electronic sensors, for an optimal experience.

The present disclosure relates to a method of performing bilateral dynamic range compression of first and second microphone signals generated by first and second hearing devices, respectively, of a binaural hearing system. The method comprises to pick-up sound pressure inside an ear canal of the user's left or right ear by a first microphone to generate a first microphone signal in response to incoming sound and pick-up sound pressure inside an ear canal of the user's opposite ear by a second microphone to generate a second microphone signal in response to the incoming sound.

An apparatus for controlling a dynamic compressor of a hearing aid includes a combination signal analyzer for determining the binaural similarity of a left and right audio signal and an amplification adjuster for providing an amplification value for a band of the left or right audio signal in dependence on the binaural similarity and a level of the left or right audio signal in the band.

Presented herein are techniques for dynamically setting, in real-time, a ratio of acoustical stimulation signals to electrical stimulation signals delivered by a hearing prosthesis. The ratio of the acoustical stimulation signals to the electrical stimulation signals is set based on one or more characteristics or attributes of the input sound signals that are received and processed by the hearing prosthesis in order to generate the acoustical and electrical stimulation signals.

A device, system, and a method for adjusting audio parameters for a user are disclosed. The method comprises performing a hearing test of the user. The hearing test comprises playing an audio and capturing an auditory response of the user towards the audio. A hearing profile of the user is generated based on one or more results of the hearing test. A playing speed of the audio is adjusted based on the hearing profile, thereby adjusting the audio parameters for the user.

Disclosed are systems and methods for fitting a sound personalization algorithm using a two-dimensional (2D) graphical fitting interface. A calculated set of initial digital signal processing (DSP) parameters are determined for a given sound personalization algorithm, based on a user hearing profile. The initial DSP parameters are outputted to a 2D graphical fitting interface of an audio personalization application, wherein a first axis represents a level of coloration and a second axis represents a level of compression. A user input specifies a first 2D coordinate selected from a coordinate space presented by the 2D graphical fitting interface. A first set of refined DSP parameters is generated to apply a coloration and/or compression adjustment corresponding to the first 2D coordinate. The given sound personalization algorithm is parameterized with the first set of refined DSP parameters.

A hearing device comprises A) a forward path, comprising a1) an input unit for providing a time-domain electric input signal as digital samples, a2) an analysis filter bank configured to provide a time-frequency representation of said electric input signal, a3) a signal processing unit for processing a signal of the forward path and providing a number of processed channel-signals, B) an onset detector configured to receive said time-domain electric input signal before entering said analysis filter bank, and to provide an onset control signal dependent on a current first order derivative of an envelope thereof, C) a level estimation unit for estimating a current level of said frequency sub-band signals, and comprising c1) a level adjustment unit configured to adjust the current levels of said frequency sub-band signals, and to control said level adjustment in dependence of said onset control signal. The invention may be used in audio devices, e.g. hearing aids.