Disclosed examples generally include methods and apparatuses related to microphone units, such as may be found in implantable medical devices (e.g., cochlear implants). Microphone units generally include a microphone element connected to a chamber having a concave floor with the chamber covered by a membrane. Microphone units can be configured to produce an output based on pressure waves (e.g., sound waves) that reach the membrane. In an example, a microphone unit has a pressurized gas within the chamber below the membrane such that, while in a static state, the membrane deflects away from the chamber floor.

A hearing system includes a hearing instrument for capturing a sound signal from an environment of the hearing instrument. The captured sound signal is processed, and the processed sound signal is output to a user of the hearing instrument. In a speech recognition step, the captured sound signal is analyzed to recognize speech intervals, in which the captured sound signal contains speech. In a speech enhancement procedure performed during recognized speech intervals, the amplitude of the processed sound signal is periodically varied according to a temporal pattern that is consistent with a stress rhythmic pattern of the user. A method for operating the hearing instrument is also provided.

Methods and systems are described herein for improving audio for hearing impaired content consumers. An example method may comprise determining a content asset. Closed caption data associated with the content asset may be determined. At least a portion of the closed caption data may be determined based on a user setting associated with a hearing impairment. Compensating audio comprising a frequency translation associated with at least the portion of the closed caption data may be generated. The content asset may be caused to be output with audio content comprising the compensating audio and the original audio.

A hearing aid and related systems and methods. In one implementation, a hearing aid system may comprise a wearable camera configured to capture images from an environment of a user, a microphone configured to capture sounds from the environment of the user, and a processor. The processor may be programmed to receive images captured by the camera; receive audio signals representative of sounds captured by the microphone; operate in a first mode to cause a first selective conditioning of a first audio signal; determine, based on analysis of at least one of the images or the audio signals, to switch to a second mode to cause a second selective conditioning of the first audio signal; and cause transmission of the first audio signal selectively conditioned in the second mode to a hearing interface device configured to provide sound to an ear of the user.

A hearing system includes a processing device, a hearing aid adapted to be worn by a user, and a data logger. The hearing aid includes an input transducer providing an electric input signal representing sound in the environment of the user, and a hearing aid processor executing a processing algorithm in dependence of a specific parameter setting. The data logger stores time segments of said electric input signal, and data representing a corresponding user intent. The processing device comprises a simulation model of the hearing aid. The simulation model is based on a learning algorithm configured to provide a specific parameter setting optimized to the user's needs in dependence of a hearing profile of the user, the logged data, and a cost function. A method of determining a parameter setting for a hearing aid is further disclosed.

Presented herein are techniques for monitoring the sensory outcome of a recipient of a sensory prosthesis in an ambient environment that includes one or more controllable network connected devices. The sensory outcome of the recipient in the environment is used to make operational changes to the one or more controllable network connected devices in order to create an improved environment for recipient.

Disclosed herein, among other things, are methods and apparatus for a user interface control to allow control of multiple parameters from a single control for a hearing assistance device. One aspect of the present subject matter relates to hearing assistance device for a wearer, including a housing, hearing assistance electronics housed in the housing, and a tinnitus therapy generator housed in the housing. A user interface control is connected to the electronics and the generator, and the control is configured to sense input from the wearer and provide for selection and adjustment of operational parameters for the electronics and the generator based on the sensed input. Other aspects are provided without departing from the scope of the present subject matter.

A hearing assistance device for informing about the state of a wearer includes: an input part configured to receive a selection input for either an ambient listening function or a music listening function; at least one microphone configured to pick up ambient sound; a speaker configured to send the ambient sound to the wearer; a communication part configured to perform wired or wireless communication with an external electronic communication device; an indication part configured to indicate that the ambient listening function or the music listening function is being performed; and a controller configured to perform the ambient listening function to pick up ambient sound from the microphone according to a selection input from the input part and send the ambient sound to the speaker, or perform the music listening function to play stored music or music received from the communication part and send the music to the speaker.

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 method for adapting signal processing parameters of a hearing instrument of a hearing system. A number of acoustic indicators (IndA) for a temporary environmental situation of a user of the hearing instrument is ascertained from an input signal generated by a transducer. A first sensor ascertains a number of peripheral indicators (IndP) for the existing temporary environmental situation. Based on the acoustic and peripheral indicators (IndA, IndP) the system determines whether the existing temporary environmental situation falls into a known class of temporary environmental situations. If it does not, a new class is defined with the respective ascertained acoustic and peripheral indicator(s) (IndA, IndP), and the plurality of signal processing parameters are assigned a corresponding plurality of parameter values, according to which the first input signal is to be processed to form the output signal upon the future existence of a temporary environmental situation from the new class.