Abstract: A display substrate includes a first display region, a second display region, and a frame region. Light-emitting devices include first light-emitting devices in the first display region and second light-emitting devices in the second display region. Pixel drive circuits include first pixel drive circuits in the frame region and second pixel drive circuits in the second display region. The first pixel drive circuits are electrically connected to the first light-emitting devices. The second pixel drive circuits are electrically connected to the second light-emitting devices. Each of shift registers cascaded in the frame region is connected to the first pixel drive circuits and the second pixel drive circuits which are electrically connected to one row of first light-emitting devices and the same one row of second light-emitting devices respectively.

Abstract: Disclosed are a display apparatus and a method for sound processing. The method includes: receiving a command for setting a sound mode currently used by the display apparatus as a target sound mode; in response to the command, display a sound setting menu on the display of the display apparatus, and display a name of the target sound mode and one or more context menus corresponding to the target sound mode; and in response to at least one context menu of the one or more context menus being a non-default context menu, display a prompt identifier on the sound setting menu, wherein the non-default context menu refers to a context menu with a current sound effect parameter that is a non-default value.

Abstract: In an exemplary process for interpreting spoken requests, audio input containing a user utterance is received. In accordance with a determination that a text representation of the user utterance does not exactly match any of a plurality of user-defined invocation phrases, the process determines whether a comparison between the text representation and a user-defined invocation phrase of the plurality of user-defined invocation phrases satisfies one or more rule-based conditions. In accordance with a determination that the comparison between the text representation and the user-defined invocation phrase satisfies the one or more rule-based conditions, the text representation and the user-defined invocation phrase is processed using a machine-learned model to determine a score representing a degree of semantic equivalence between the text representation and the user-defined invocation phrase.

Abstract: In an exemplary process for interpreting spoken requests, audio input containing a user utterance is received. In accordance with a determination that a text representation of the user utterance does not exactly match any of a plurality of user-defined invocation phrases, the process determines whether a comparison between the text representation and a user-defined invocation phrase of the plurality of user-defined invocation phrases satisfies one or more rule-based conditions. In accordance with a determination that the comparison between the text representation and the user-defined invocation phrase satisfies the one or more rule-based conditions, the text representation and the user-defined invocation phrase is processed using a machine-learned model to determine a score representing a degree of semantic equivalence between the text representation and the user-defined invocation phrase.