Abstract: A computer-implemented method includes precomputing various sections of a user interface (UI) that is to be displayed on a client device. The method also includes instantiating event listeners associated with corresponding precomputed sections of the UI that are subject to change based on the occurrence of an associated event. The event listeners are configured to provide, for various changeable sections of the UI, an indication of whether the event associated with the event listener has occurred. Upon determining that the event associated with the event listener has occurred, the method includes adaptively generating an updated version of the corresponding section of the UI that is associated with the identified event listener and dynamically updating the user interface to include the adaptively generated, updated version of the corresponding user interface section. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: Techniques for performing voice-based user recognition are described. When a device receives audio data corresponding to a spoken user input, the device may generate spoken user input embedding data representing speech characteristics of the spoken user input. The device may also identify user embedding data representing speech characteristics of a user known to the device. A machine learning (ML) model may process the spoken user input embedding data to generate reduced spoken user input embedding data including a reduced number of dimensions, where the reduced number of dimensions are functions of the higher number of dimensions of the spoken user input embedding data.

Abstract: Techniques for determining whether audio is machine-outputted or non-machine-outputted are described. A device may receive audio, may process the audio to determine audio data including audio features corresponding to the audio, and may process the audio data to determine audio embedding data. The device may process the audio embedding data to determine whether the audio is machine-outputted or non-machine-outputted. In response to determining that the audio is machine-outputted, then the audio may be discarded or not processed further. Alternatively, in response to determining that the audio is non-machine-outputted (e.g., live speech from a user), then the audio may be processed further (e.g., using ASR processing).