Multi-AI Voice Control Using Proximity and Intention Selection
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Solution Overview
Problem
In environments with multiple AI devices, unclear which device to control when a user's command is not device-specific.
Innovation Solution
An AI device determines the closest device based on speech quality and intention, using volume and sensors to select and control the appropriate device.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple AI devices are deployed in the home, then speech recognition coverage and service availability are improved, but device selection ambiguity increases when commands are not device-specific
Solution Approach 1:
The system uses feedback from multiple sensors (microphone volume levels, sensor detection results) to determine which device should respond to a command. Each device provides feedback about its detection capabilities, and the system uses this feedback to resolve selection ambiguity among multiple devices.
Solution Approach 2:
The system changes parameters such as volume level thresholds and sensor detection results to dynamically determine device selection. By adjusting these parameters based on real-time conditions, the system can clearly identify which device should respond even when multiple devices are present.
2Measurement precision
If device selection is based on speech quality and intention analysis, then accurate device identification is achieved, but system complexity increases
Solution Approach 1:
The system segments the device selection process into distinct components: speech quality assessment, intention analysis, sensor detection, and final selection. By dividing the complex selection process into separate manageable segments, the system achieves high identification accuracy without overwhelming complexity.
Solution Approach 2:
The system introduces an intermediary selection mechanism that mediates between multiple devices and the command. This intermediary process analyzes speech quality and intention, then selects the appropriate device, simplifying the overall system architecture while maintaining high precision.
3Speed
If the closest device is selected based on volume level, then response time is reduced, but accuracy may decrease when the closest device is not the intended target
Solution Approach 1:
The system performs preliminary analysis of speech quality and intention before final device selection. By conducting this preliminary assessment, the system can quickly identify the most appropriate device without sacrificing accuracy, even when the closest device is not the intended target.
Solution Approach 2:
The system uses feedback from intention analysis and sensor detection to verify whether the closest device is the correct target. This feedback mechanism ensures rapid response time while maintaining high selection accuracy by confirming the appropriateness of the selected device.
Data Source
AI summary
A method of controlling an artificial intelligence device may include receiving an operation command at a plurality of artificial intelligence devices; determining a first artificial intelligence device closest to a point-of-origin of an operation command based on the operation command being received at the plurality of artificial intelligence devices; outputting a response corresponding to the operation command through the first artificial intelligence device; determining a second artificial intelligence device that will perform an operation corresponding to the operation command, and transmitting a control command corresponding to the operation command to the second artificial intelligence device; and performing, by the second artificial intelligence device, an operation corresponding to the operation command based on the control command.