Abstract: A hearing aid focusing system is provided to enables a user to hear an environmental sound. The focusing system adaptively adjusts a hearing aid in response to visual information about a user environment from one or more image capture devices. The focusing system analyzes images captured of the environment to identify one or more sources of sound that warrants user attention. Once a sound source is pinpointed and determined to be significant for the user, microphones of the hearing aid are automatically adjusted as needed in vertical and/or horizontal directions toward the sound source.

Abstract: Implementations generally relate to conversations using hearable-to-hearable communication, according to some implementations. In some implementations, a method includes establishing a connection between auditory devices of a first group of auditory devices, where the first group of auditory devices includes at least a first auditory device and a second auditory device. The method further includes creating a second group of auditory devices in response to a group creation trigger event. The method further includes establishing a connection between auditory devices of the second group of auditory devices, where the second group of auditory devices includes at least the first auditory device and a third auditory device.

Abstract: A computer-implemented method performed by an auditory device includes receiving a current location from a user device. The method further includes determining whether the current location exceeds a distance threshold from a previous location that is associated with a current preset. The method further includes responsive to the current location exceeding the distance threshold, determining whether one or more presets have been previously used in the current location by a user. The method further includes responsive to determining that the one or more presets have been previously used in the current location by the user, applying, with the auditory device, the one or more presets.

Abstract: A media application determines a first unique identifier associated with a first media device in a media system. The media application receives an installation request for instructions for installing the first media device. The media application provides the first unique identifier as input to a machine-learning model. The machine-learning model outputs first installation instructions. Responsive to receiving one or more subsequent unique identifiers associated with one or more subsequent media devices in the media system, the media application provides the first unique identifier, the one or more subsequent unique identifiers, and the installation request as input to a machine-learning model. The machine-learning model outputs one or more subsequent installation instructions that include a description of how to connect the one or more subsequent media devices to the first media device.

Abstract: Implementations generally relate to dynamic artificial intelligence searching and display. In some implementations, a method includes detecting that a media item is being presented on a media device. The method further includes generating media information associated with the media item while the media item is being presented on the media device. The method further includes providing the media information to a user of the media device.

Abstract: A method includes receiving, from a wireless device, information about a plurality of users within proximity to a media player. The method further includes determining, based on the information, user profiles associated with the plurality of users. The method further includes generating a group profile that includes the user profiles. The method further includes providing the group profile and a request for one or more media items as input to a machine-learning model. The method further includes the machine-learning model outputting the one or more media items that satisfy the request. The method further includes providing a recommendation that includes the one or more media items.

Abstract: A hearable vent control system is provided to enable vents in hearable devices to automatically be at least partially closed in response to the system predicting a potential for a loud sound to occur above a threshold volume in the environment. An image capture device is utilized to produce images of the environment. The images are analyzed to detect visual sound factors that indicate a potential loud sound, such as sound reflective elements, reoccurring loud sound sources, etc. The system uses the visual sound factors to predict a volume above a threshold and at least partially closes vents in response.

Abstract: A hearable communication system is provided to enable a user to converse with target persons physically located in the environment of the user by connecting hearable devices. A target person is identified by analyzing images taken of persons in the environment and matching visual indicators from the images to stored identifying information for target persons of interest to the user. Additional identifying information, such as broadcast identifiers for hearable devices and group membership information may also be employed in the identification process. Once the target person is confirmed, a hearable device of the user is connected with a hearable devices of the target person. Detection of a stopping action can then trigger disconnection of the hearable devices to end the audio conversation.

Abstract: Implementations generally relate to the linking of smart devices to enhance user experience. In some implementations, a method includes detecting, by a first media device, a presence of a second media device, where the first media device includes a primary artificial intelligence (AI) module. The method further includes establishing communication between the first media device and the second media device. The method further includes determining configuration information associated with the second media device. The method further includes sharing functionality of the primary AI module with the second media device based on the configuration information.

Abstract: A computer-implemented method for a first auditory device to connect with a second auditory device that includes determining that a user requests that the first auditory device connect to the second auditory device. The method further includes transmitting a request for a connection to the second auditory device. The method further includes responsive to receiving an acknowledgement, subscribing to the connection. The method further includes communicating with the second auditory device until the first auditory device is done or out of a communication range with the second auditory device.

Abstract: A head gesture control system is provided that enables user control of features associated with a hearable device by using head gestures. The system determines that a movement by a user is a head control gesture designated for a particular adjustment. Various gesture factors are employed in this determination. The head control gesture may be used in combination with other types of device controls, such as tap and voice. A feedback indicator is provided back to the user describing the feature adjustment and enabling the user to ensure proper control is carried out. The user can then make additional or different adjustments or cancel the adjustment, if desired.

Abstract: A non-speech sound control system is provided that enables user control of features associated with a hearable device by using non-speech sound control gestures. The system determines that a pattern of non-speech sound(s) by a user is a control gesture designated for a particular adjustment. Various sound factors are employed in this determination. A feedback indicator is provided back to the user describing the feature adjustment and enabling the user to ensure proper control is conducted. The user can then make additional or different adjustments or cancel the adjustment, if desired.

Abstract: A first hearing aid includes a first sensor that receives first sensor data associated with a mobile device. The first hearing aid determines, based on the first sensor data, that a first distance between the first hearing aid and the mobile device is below a first distance threshold. The first hearing aid changes a first preset associated with the first hearing aid to a second preset. A second hearing aid changes a first preset associated with the second hearing aid to a third preset.

Abstract: A computer-implemented method includes receiving an image at a location from a camera associated with a mobile device. The method further includes providing the image as input to a machine-learning model, wherein the machine-learning model is trained to identify locations associated with input images. The method further includes determining that the machine-learning model did not identify a location associated with the first image. The method further includes generating, with the machine-learning model, an audio preset. The method further includes transmitting the first audio preset to an auditory device, wherein the auditory device uses the audio preset to modify sounds at the location.

Abstract: A noise canceling disablement system is provided to enables a user to hear select conversational speech directed at the user while wearing a noise cancelling hearable device. The disablement system automatically at least partial disables the noise canceling feature of the hearable device in response to recognizing conversational speech of a speaking person within a detected conversation zone of the user. In some cases, triggering of the noise canceling disablement further requires the speaking person to be identified by the system as significant person of the user.

Abstract: Implementations generally relate to providing horizontal and vertical conversation focusing using eye tracking. In some implementations, a method includes identifying at a wearable device associated with a user at least one eye gesture of the user. The method further includes modifying a current auditory pickup configuration associated with the hearing device based on the at least one eye gesture of the user, where the hearing device is configured to detect one or more sounds.

Abstract: Implementations generally relate to the control of hearables. In some implementations, a method includes detecting at least one gesture of a user. The method further includes modifying a current auditory pickup configuration associated with a hearing device associated with the user based on the at least one gesture, where the hearing device is configured to detect one or more sounds.

Abstract: A hearing aid focusing system is provided to enables a user to hear an environmental sound. The focusing system adaptively adjusts a hearing aid in response to visual information about a user environment from one or more image capture devices. The focusing system analyzes images captured of the environment to identify one or more sources of sound that warrants user attention. Once a sound source is pinpointed and determined to be significant for the user, microphones of the hearing aid are automatically adjusted as needed in vertical and/or horizontal directions toward the sound source.

Abstract: A computer-implemented method for a first auditory device to connect with a second auditory device that includes determining that a user requests that the first auditory device connect to the second auditory device. The method further includes transmitting a request for a connection to the second auditory device. The method further includes responsive to receiving an acknowledgement, subscribing to the connection. The method further includes communicating with the second auditory device until the first auditory device is done or out of a communication range with the second auditory device.

Abstract: A first hearing aid includes a first sensor that receives first sensor data associated with a mobile device. The first hearing aid determines, based on the first sensor data, that a first distance between the first hearing aid and the mobile device is below a first distance threshold. The first hearing aid changes a first preset associated with the first hearing aid to a second preset. A second hearing aid changes a first preset associated with the second hearing aid to a third preset.