Abstract: A method, including capturing first sound with a hearing prosthesis, classifying the first sound using the hearing prosthesis according to a first feature regime, capturing second sound with the hearing prosthesis, and classifying the second sound using the hearing prosthesis according to a second feature regime different from the first feature regime.

Abstract: A method, including capturing first sound with a hearing prosthesis, classifying the first sound using the hearing prosthesis according to a first feature regime, capturing second sound with the hearing prosthesis, and classifying the second sound using the hearing prosthesis according to a second feature regime different from the first feature regime.

Abstract: Presented herein are substantially automated techniques that enable an electro-acoustic or other hearing prosthesis implanted in a recipient to use objective measurements to determine when the recipient is likely experiencing sound perception changes. Once one or more perception changes are detected, the hearing prosthesis may initiate one or more remedial actions to, for example, address the perception changes. As described further below, the one or more remedial actions may include adjustments to the recipient's operational map to reverse the one or more perception changes.

Abstract: Presented herein are substantially automated techniques that enable an electro-acoustic or other hearing prosthesis implanted in a recipient to use objective measurements to determine when the recipient is likely experiencing sound perception changes. Once one or more perception changes are detected, the hearing prosthesis may initiate one or more remedial actions to, for example, address the perception changes. As described further below, the one or more remedial actions may include adjustments to the recipient's operational map to reverse the one or more perception changes.

Abstract: A method, including implementing a hearing prosthesis automated assistant on one or more computing devices having one or more processors and memory, the method including, at the one or more computing devices, at an input device, receiving hearing prosthesis recipient input, the input invoking the automated assistant, the input being indicative of a problem associated with a hearing prosthesis of the recipient, interpreting the received recipient input to derive a representation of recipient intent, identifying at least one task based at least in part on the derived representation of user intent, and causing a first output to be provided, the first output providing an attempted solution to the problem.

Abstract: A method, including the actions of obtaining access to a virtual reality system; activating a cochlear implant such that the cochlear implant evokes a hearing percept based on first input; and receiving second input from the virtual reality system in temporal proximity with the evocation of the hearing percept based on the first input, wherein the cochlear implant evokes a hearing percept based on the first input, and the second input is correlated with the first input.

Abstract: A body worn or implantable hearing prosthesis, including a device configured to capture an audio environment of a recipient and evoke a hearing percept based at least in part on the captured audio environment, wherein the hearing prosthesis is configured to identify, based on the captured audio environment, one or more biomarkers present in the audio environment indicative of the recipient's ability to hear.

Abstract: A method, including the actions of obtaining access to a virtual reality system; activating a cochlear implant such that the cochlear implant evokes a hearing percept based on first input; and receiving second input from the virtual reality system in temporal proximity with the evocation of the hearing percept based on the first input, wherein the cochlear implant evokes a hearing percept based on the first input, and the second input is correlated with the first input.

Abstract: A body worn or implantable hearing prosthesis, including a device configured to capture an audio environment of a recipient and evoke a hearing percept based at least in part on the captured audio environment, wherein the hearing prosthesis is configured to identify, based on the captured audio environment, one or more biomarkers present in the audio environment indicative of the recipient's ability to hear.

Abstract: A primary device arranged to communicate with one or more secondary devices across a communications network. The primary device comprises at least one processor and memory comprising computer executable instructions, which when executed by the at least one processor, are configured to: receive an audio signal comprising a voice command associated with a user; determine a secondary device associated with the user from the one or more secondary devices; and transmit a response to the voice command to the determined secondary device.

Abstract: Presented herein are substantially automated techniques that enable an electro-acoustic or other hearing prosthesis implanted in a recipient to use objective measurements to determine when the recipient is likely experiencing sound perception changes. Once one or more perception changes are detected, the hearing prosthesis may initiate one or more remedial actions to, for example, address the perception changes. As described further below, the one or more remedial actions may include adjustments to the recipient's operational map to reverse the one or more perception changes.

Abstract: An audio processing apparatus, comprising: a first receiver configured to receive one or more audio signals derived from one or more microphones, the one or more audio signals comprising a speech component received from a user and a first noise component transmitted by a first device; a second receiver configured to receive over a network and from the first device, first audio data corresponding to the first noise component; one or more processors configured to: remove the first noise component from the one or more audio signals using the first audio data to generate a first processed audio signal; and perform speech recognition on the first processed audio signal to generate a first speech result.

Abstract: A method, including obtaining hearing data and speech data for a statistically significant number of individuals, and analyzing the obtained hearing data and speech data using a neural network to develop a predictive algorithm for hearing loss based on the results of the analysis, wherein the predictive algorithm predicts hearing loss based on input indicative of speech of a hearing impaired person who is not one of the individuals.

Abstract: Presented herein are substantially automated techniques that enable an electro-acoustic or other hearing prosthesis implanted in a recipient to use objective measurements to determine when the recipient is likely experiencing sound perception changes. Once one or more perception changes are detected, the hearing prosthesis may initiate one or more remedial actions to, for example, address the perception changes. As described further below, the one or more remedial actions may include adjustments to the recipient's operational map to reverse the one or more perception changes.

Abstract: A method, including obtaining hearing data and speech data for a statistically significant number of individuals, and analyzing the obtained hearing data and speech data using a neural network to develop a predictive algorithm for hearing loss based on the results of the analysis, wherein the predictive algorithm predicts hearing loss based on input indicative of speech of a hearing impaired person who is not one of the individuals.

Abstract: A method, including capturing first sound with a hearing prosthesis, classifying the first sound using the hearing prosthesis according to a first feature regime, capturing second sound with the hearing prosthesis, and classifying the second sound using the hearing prosthesis according to a second feature regime different from the first feature regime.

Abstract: An audio processing apparatus, comprising: a first receiver configured to receive one or more audio signals derived from one or more microphones, the one or more audio signals comprising a speech component received from a user and a first noise component transmitted by a first device; a second receiver configured to receive over a network and from the first device, first audio data corresponding to the first noise component; one or more processors configured to: remove the first noise component from the one or more audio signals using the first audio data to generate a first processed audio signal; and perform speech recognition on the first processed audio signal to generate a first speech result.

Abstract: A primary device arranged to communicate with one or more secondary devices across a communications network. The primary device comprises at least one processor and memory comprising computer executable instructions, which when executed by the at least one processor, are configured to: receive an audio signal comprising a voice command associated with a user; determine a secondary device associated with the user from the one or more secondary devices; and transmit a response to the voice command to the determined secondary device.

Abstract: A method, including capturing first sound with a hearing prosthesis, classifying the first sound using the hearing prosthesis according to a first feature regime, capturing second sound with the hearing prosthesis, and classifying the second sound using the hearing prosthesis according to a second feature regime different from the first feature regime.

Abstract: A method, including the actions of obtaining access to a virtual reality system; activating a cochlear implant such that the cochlear implant evokes a hearing percept based on first input; and receiving second input from the virtual reality system in temporal proximity with the evocation of the hearing percept based on the first input, wherein the cochlear implant evokes a hearing percept based on the first input, and the second input is correlated with the first input.