A method of increasing an ability of a recipient of a hearing prosthesis' ability to hear with the hearing prosthesis, including obtaining data indicative of a first characteristic of content, wherein the content is an audio or an audio-visual content, obtaining data indicative of a second characteristic of the content, identifying, based on the first and second characteristics, specific content and using at least one item of the specific content with the hearing prosthesis such that a hearing percept in the recipient is evoked based on the at least one item of specific content.

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.

An apparatus includes at least one housing configured to be implanted within a body of a recipient, at least one acoustic transducer positioned on or within the at least one housing, at least one motion sensor positioned on or within the at least one housing, gain circuitry configured to apply a gain to transducer output signals from the at least one acoustic transducer, at least one storage device, and at least one processor operatively coupled to the at least one acoustic transducer, the at least one motion sensor, the gain circuitry, and the at least one storage device. The at least one processor is configured to adjust the gain circuitry in response to a reference acoustic sensitivity function, a reference vibration response function, the transducer output signals, and sensor output signals from the at least one motion sensor.

A computing system comprising one or more electronic computing devices receives data from a hearing-assistance device. The computing system determines, based on the data received from the hearing-assistance device, a cognitive benefit measure for a wearer of the hearing-assistance device. The cognitive benefit measure being an indication of a change of a cognitive benefit of the wearer of the hearing-assistance device attributable to use of the hearing-assistance device by the wearer of the hearing-assistance device. The computing device outputs an indication of the cognitive benefit measure.

A method for programming a hearing assistance device includes entering an audiogram into the memory of a mobile computing device, wherein the audiogram indicates a hearing loss profile of a user of the hearing assistance device. Based on the audiogram, the mobile computing device determines a preferred hearing correction algorithm for the user and transfers the preferred algorithm to the memory of the hearing assistance device, which also contains one or more preloaded hearing correction algorithms. During an initial setup procedure, the user listens to sounds amplified by the hearing assistance device while switching between the preferred algorithm and the preloaded algorithms, and selects the algorithm that sounds best for continued use in the hearing assistance device.

A hearing device has a signal processor which has an adjustable parameter that has a given setting at a given time. The parameter is set depending on the situation by selecting a setting, depending on an environmental situation and by a learning machine. A current setting of the parameter can be rated by feedback from a user. In a first training procedure the learning machine is passively trained by negative feedback signals, by rating feedback from the user as dissatisfaction with the current setting and by assuming the user's satisfaction with the current setting as long as no feedback is given. In a second training procedure the learning machine is trained by changing the current setting independently of the feedback from the user and in spite of an assumed satisfaction with the current setting, so that the user is offered a different setting which can then be rated by feedback.

A method for programming a hearing assistance device includes entering an audiogram into the memory of a mobile computing device, wherein the audiogram indicates a hearing loss profile of a user of the hearing assistance device. Based on the audiogram, the mobile computing device determines a preferred hearing correction algorithm for the user and transfers the preferred algorithm to the memory of the hearing assistance device, which also contains one or more preloaded hearing correction algorithms. During an initial setup procedure, the user listens to sounds amplified by the hearing assistance device while switching between the preferred algorithm and the preloaded algorithms, and selects the algorithm that sounds best for continued use in the hearing assistance device.

A method of increasing an ability of a recipient of a hearing prosthesis' ability to hear with the hearing prosthesis, including obtaining data indicative of a first characteristic of content, wherein the content is an audio or an audio-visual content, obtaining data indicative of a second characteristic of the content, identifying, based on the first and second characteristics, specific content and using at least one item of the specific content with the hearing prosthesis such that a hearing percept in the recipient is evoked based on the at least one item of specific content.

A method includes determining a first feature of a first audio signal at a first location in a signal processing path and determining, using the first feature, a first environmental classification of the first signal. Further, the method includes, based on the first environmental classification, enabling, modifying or disabling one or both of a first signal processing mode at the first location and a second signal processing mode at a second location in the signal processing path. The method also includes determining a second feature of a second audio signal at the second location and determining, using the second feature, a second environmental classification of the second signal. Further, the method includes, based on the second environmental classification, enabling, modifying or disabling one or both of the first signal processing mode at the first location and the second signal processing mode at the second location.

The present disclosure relates to tracking of acoustic feedback events of a hearing assistance device, such as a hearing aid. Information about the acoustic feedback events is stored for analysis. Such information is useful for programming acoustic feedback cancellers and other parameters of a hearing assistance device.