AI Device Wake-Up Selection via Speech Quality Comparison
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Solution Overview
Problem
In a home environment with multiple artificial intelligence devices, users face difficulty in selecting the intended device to activate using a wake-up command due to simultaneous activation of multiple devices in response to the command.
Innovation Solution
An artificial intelligence device compares the speech quality of the wake-up command with external devices and selects the device with better quality, and also determines if the command volume is within an appropriate range to prevent unnecessary activation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple artificial intelligence devices are deployed in a home environment, then the coverage and availability of speech recognition services are improved, but it becomes difficult for users to select the intended device to activate
Solution Approach 1:
The patent applies local quality by making each device's wake-up command recognition capability location-specific. Devices evaluate speech quality metrics (volume, signal-to-noise ratio, acoustic environment) specific to their local position and compare these metrics to determine which device should be activated. This resolves the contradiction by maintaining high availability through multiple devices while enabling clear device selection through localized speech quality evaluation.
2Speed
If all artificial intelligence devices activate in response to a wake-up command, then the responsiveness of the system is improved, but user confusion increases and the intended device cannot be identified
Solution Approach 1:
The patent applies preliminary action by having devices evaluate speech quality metrics and determine activation eligibility before actually activating. Devices perform preliminary assessments of volume, signal-to-noise ratio, and acoustic environment, then use this information to select the single most appropriate device for activation. This resolves the contradiction by maintaining fast response through pre-evaluation while preventing confusion through predetermined selection criteria.
3Measurement precision
If speech quality evaluation is implemented to select the activated device, then device selection accuracy is improved, but the complexity of the system increases
Solution Approach 1:
The patent applies parameter changes by evaluating multiple speech quality parameters (volume, signal-to-noise ratio, acoustic environment characteristics) and using these parameter comparisons to determine device activation. Rather than implementing a complex centralized selection system, each device independently evaluates these parameters and selects itself based on having the most favorable speech quality metrics. This resolves the contradiction by achieving high selection accuracy through parameter evaluation while maintaining relatively simple device-level implementation.
Data Source
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AI summary
An artificial intelligence device includes a microphone configured to receive a speech command, a speaker, a communication unit configured to perform communication with an external artificial intelligence device, and a processor configured to receive a wake-up command through the microphone, acquire a first speech quality level of the received wake-up command, receive a second speech quality level of the wake-up command input to the external artificial intelligence device from the external artificial intelligence device through the communication unit, output a notification indicating that the artificial intelligence device is selected as an object to be controlled through the speaker, when the first speech quality level is larger than the second speech quality level, receive an operation command through the microphone, acquire an intention of the received operation command and transmit the operation command to an external artificial intelligence device which will perform operation corresponding to the operation command according to the acquired intention through the communication unit.