A method and system for heterogeneous event detection. Sensor data is obtained and divided into discrete data windows. Each data window is defined by and corresponds to a time period of the sensor data. A time-frequency representation over the time period is calculated for each data window. A filter mask is calculated based on the data window corresponding to the time-frequency representation. The filter mask is applied for reverting the time-frequency representation to a time representation, resulting in filtered data. Features, such as extrema or other inflection points, are identified in the filtered data. The features define events, and transforming the time-frequency representation back into the time domain emphasizes differences between more and less prominent frequencies, facilitating identification of heterogeneous events. The method and system may be applied to body movements of people or animals, automaton movement, audio signals, light intensity, or any suitable time-dependent variable.

A system for selectively amplifying audio signals may include a microphone configured to capture sounds from an environment of a user. The system may also include a processor programmed to: receive audio signals representative of the sounds captured by the microphone; cause selective conditioning of at least one audio signal received by the microphone from a region associated with the recognized individual; and cause transmission of the at least one conditioned audio signal to a hearing interface device configured to provide sound to an ear of the user.

A method for masking an acoustic stimulus, comprising: detecting an event initiated by a user of a personal audio device, the event having an associated audio artefact; in response to detecting the event, applying the acoustic stimulus to the user's ear during a masking period in which the acoustic stimulus is masked in the user's hearing by the audio artefact; extracting, from a response signal of the user's ear to the acoustic stimulus, one or more features for use in a biometric process.

Disclosed herein are methods, systems, and devices for dynamically adjusting a user interface provided by an external unit of a hearing device. In an example method, the external unit determines whether a state of the external unit is one of (i) a coupled state when the external unit and the stimulation unit are coupled or (ii) a decoupled state when the external and the stimulation unit are decoupled. The external unit then provides one of (i) a first user interface when the determined state is the coupled state or (ii) a second user interface when the determined state is the decoupled state.

An illustrative system includes a stimulation device configured to apply stimulation to a recipient, a sensing device configured to detect a physiological condition of the recipient, and a processing unit communicatively coupled to the stimulation device and the sensing device. The processing unit determines a stimulation strategy that is customized to the recipient and includes stimulation frames and stimulation gaps. The processing unit then directs the stimulation device to apply the stimulation to the recipient in accordance with the stimulation strategy by applying the stimulation only during time that corresponds to the stimulation frames. The processing unit also directs the sensing device to detect the physiological condition of the recipient in accordance with the stimulation strategy by detecting only during time that corresponds to the stimulation gaps. Based on the detected physiological condition, the processing unit performs an action. Corresponding systems, methods, and apparatuses are also disclosed.

A compensation system for an implantable actuator is disclosed where the implantable actuator includes a sealed housing containing a driving arrangement for the actuator. The compensation system includes an external pressure sensor for measuring an external pressure outside of the sealed housing and a compensation module for determining a compensation factor for the implantable actuator based on the external pressure. In one embodiment, the compensation is directed to a direct acoustic cochlear stimulation (DACS) implantable actuator.

A hearing device includes at least one microphone configured to capture sound signals within an overall frequency range and to convert them into an input signal. A signal processor is provided for processing the input signal within a lower frequency range that is part of an overall frequency range. A detector is provided for detecting a noise that has frequency components both inside and outside the lower frequency range, namely in an upper frequency range above the lower frequency range. The hearing device is configured in such a way that the detector detects the noise based on its frequency component in the upper frequency range. A method for operating a hearing device is also provided.

The present application discloses and describes neurostimulation systems and methods that include, among other features, (i) neural stimulation through audio with dynamic modulation characteristics, (ii) audio content serving and creation based on modulation characteristics, (iii) extending audio tracks while avoiding audio discontinuities, and (iv) non-auditory neurostimulation and methods, including non-auditory neurostimulation for anesthesia recovery.

Presented herein are techniques for training a hearing prosthesis to classify/categorize received sound signals as either including a recipient's own voice (i.e., the voice or speech of the recipient of the hearing prosthesis) or external voice (i.e., the voice or speech of one or more persons other than the recipient). The techniques presented herein use the captured voice (speech) of the recipient to train the hearing prosthesis to perform the classification of the sound signals as including the recipient's own voice or external voice.

A hearing aid system for individual identification of a hearing aid system may include a wearable camera, a microphone, and at least one processor. The processor may be programmed to receive a plurality of images captured by the wearable camera; receive audio signals representative of sounds captured by the microphone; and identify a first audio signal, from among the received audio signals, representative of a voice of a first individual. The processor may transcribe and store, in a memory, text corresponding to speech associated with the voice of the first individual and determine whether the first individual is a recognized individual. If the first individual is a recognized individual, the processor may associate an identifier of the first recognized individual with the stored text corresponding to the speech associated with the voice of the first individual.