Abstract: Aspects of the present disclosure provide techniques, including devices and system implementing the techniques, to provide feedback to a user of an event when the user is wearing a wearable device. For example, the wearable device may provide high quality noise canceling audio playback to the user, lowering the user's situation awareness. The techniques include measuring ambient sound using two or more microphones on the wearable device. The measured ambient sound is used to determine a related event worth relaying to the user. Based on the location attribute and sound properties, the nature and/or classification of the event may be ascertained using pattern recognition algorithms according to user threshold settings. Insignificant events that the user prefers to ignore will be ruled out by the algorithm. Upon determining the event that merits the user's attention, the wearable device provides feedback to the user indicating the nature and location of the event.

Abstract: Aspects of the present disclosure provide techniques, including devices and system implementing the techniques, to provide feedback to a user of an event when the user is wearing a wearable device. For example, the wearable device may provide high quality noise canceling audio playback to the user, lowering the user's situation awareness. The techniques include measuring ambient sound using two or more microphones on the wearable device. The event is determined based on the measured ambient sound. A location attribute of the event is determined. A deep learning algorithm may be used to identify the nature and/or classification of the event and rule out events that the user prefers to ignore. Upon determining the event that merits the user's attention, the user is provided feedback of the determined event and the location attribute, the feedback indicating the nature and location of the event.

Abstract: Aspects of the present disclosure provide techniques, including devices and system implementing the techniques, to provide feedback to a user of an event when the user is wearing a wearable device. For example, the wearable device may provide high quality noise canceling audio playback to the user, lowering the user's situation awareness. The techniques include measuring ambient sound using two or more microphones on the wearable device. The event is determined based on the measured ambient sound. A location attribute of the event is determined. A deep learning algorithm may be used to identify the nature and/or classification of the event and rule out events that the user prefers to ignore. Upon determining the event that merits the user's attention, the user is provided feedback of the determined event and the location attribute, the feedback indicating the nature and location of the event.