Abstract: In examples, an electronic device comprises a processor to receive an image of a meeting space including a person; identify facial features of the person; determine whether the person is of interest to a meeting based on the identification; and cause a change in a manner in which a video stream of the person is displayed on a graphical user interface (GUI) based on the determination.

Abstract: A system and method for improving speech conversion efficiency of Articulatory disorder, The method comprises the following steps: First generate a set of text to be recording (not considered in user difference and model difference). It will cover specific phonemes of language and tone distribution relationship. Then the user can train the voice conversion model (or other voice processing model) based on the voice recorded by the user. At the same time, the generated text will also be changed by the characteristics of the currently adopted model (For example: by changing the time-frequency resolution relationship of sentences in the text). Then generate more representative texts so that users can read more helpful training corpus to improve the processing efficiency of the system.