AVC System Oral Command Control via LLM Integration
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Solution Overview
Problem
Existing AVC systems lack the ability to efficiently control audio, video, and control features using oral commands, requiring manual configuration and separate processing for each feature.
Innovation Solution
The implementation of an AVC system using a processing core and peripherals, integrated with a large language model (LLM) that detects and interprets oral commands to perform actions on peripheral devices and the processing core.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual configuration and separate processing for each feature is used, then system control is precise and reliable, but operation complexity increases and user convenience deteriorates
Solution Approach 1:
The patent combines audio, video, and control processing functions into a single integrated processing core. The system merges multiple separate processing functions into one unified device that can handle all AVC features simultaneously through oral commands, eliminating the need for separate processing units for each function.
Solution Approach 2:
The processing core is designed with universal capabilities to perform multiple functions including audio processing, video processing, and control operations. A single device executes diverse commands such as adjusting audio levels, controlling video displays, and managing peripheral devices through natural language interpretation.
2Ease of operation
If integrated processing on a single core is implemented, then ease of operation improves, but processing load and system reliability may worsen
Solution Approach 1:
While the processing functions are integrated, the system segments command interpretation into distinct modules: audio signal detection, natural language processing, command identification, and execution control. This modular segmentation within the integrated core maintains reliability by isolating failure points and enabling independent optimization of each processing stage.
3Ease of operation
If oral command detection is added, then user convenience improves, but system complexity and processing requirements increase
Solution Approach 1:
The system introduces a natural language processing module as an intermediary between the oral command input and the control execution. This intermediary layer translates spoken language into structured commands that the processing core can execute, bridging the gap between human communication and machine control without requiring direct integration of complex language understanding throughout the entire system.
Data Source
AI summary
An audio, video and control (“AVC”) operating system is implemented on an AVC processing core coupled to one or more peripheral devices. Using a large learning model (“LLM”) module, the AVC system detects audio signals obtained from a user and infers oral commands from the audio signals. Thereafter, one or more actions corresponding to the oral commands are performed on the peripheral devices and/or the AVC processing core. In another embodiment, the AVC system obtains contextual awareness data of a room environment in which the AVC operating system functions. Thereafter, based upon the contextual awareness data, the system performs actions on the peripheral devices or AVC processing core.