Abstract: Embodiments of the present disclosure provide methods, systems and non-transitory computer readable media of performing voice model learning and rig model learning. The voice model learning includes extracting an acoustic feature value by executing predetermined acoustic signal processing with respect to voice data including human voice and extracting a voice feature value by executing first transformation processing with respect to first input information including the extracted acoustic feature value. The rig model learning includes extracting a frame feature value by executing second transformation processing with respect to second input information including the extracted voice feature value and outputting character control information for controlling a character from the extracted frame feature value.

Abstract: A system and method of operating an audio visual device generating a virtual immersive experience is provided. The system may include an optical system and a display system received in a housing, and an audio output device operably coupled to the display system, the housing being coupled to a frame to be worn by a user. A sensing device may sense at least one of an ambient brightness level or an ambient noise level, and a control system and processor operably coupled to the optical system, the display system, the audio output device and the sensing device may, in response to an external command to transition between the virtual environment and the ambient environment, adjust at least one of a brightness level or a noise level of the virtual environment based on the sensed ambient brightness level and/or the sensed ambient noise level before executing the received external command.