Speech Recognition Readiness for Event-Triggered AI Actions
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Solution Overview
Problem
Existing electronic devices with speech recognition functions require additional user inputs, such as wake-up utterances or physical button presses, to activate intelligence applications when events occur.
Innovation Solution
An electronic device equipped with a communication circuit, display, microphone, and processor that can execute an artificial intelligent application in response to designated events, sense user utterances, and perform actions based on received orders from an external server without additional user input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If an additional user input (wake-up utterance or physical button press) is required to activate the intelligence application, then the device can ensure accurate user intent recognition, but the ease of operation deteriorates due to the extra input step
Solution Approach 1:
The device performs preliminary actions by automatically detecting events (such as incoming calls, messages, or notifications) and pre-loading the relevant intelligence application in readiness state, so that when the user speaks, the application is already prepared to process the speech input without requiring a wake-up utterance or button press
Solution Approach 2:
The system provides self-service by automatically monitoring for events, determining which intelligence application should be activated, and switching to that application in readiness state without requiring user intervention, thereby enabling the user to directly issue speech commands without additional activation steps
2Productivity
If the intelligence application is automatically activated upon event occurrence, then the productivity improves by eliminating additional input steps, but the device complexity increases due to automatic event monitoring and application switching mechanisms
Solution Approach 1:
The processor is designed with multi-functionality to simultaneously perform event monitoring, application management, and speech recognition processing, consolidating multiple functions into a single processing unit rather than requiring separate dedicated hardware components for each function
Solution Approach 2:
The patent merges the event detection mechanism, application switching logic, and speech recognition activation into an integrated system where the processor handles all these tasks through unified control software, reducing the need for separate hardware components and simplifying the overall device architecture
3Ease of operation
If the application switches to readiness state upon event detection, then the ease of operation improves by enabling direct speech input, but the energy consumption increases due to continuous event monitoring
Solution Approach 1:
The device employs periodic action by monitoring for events at specific intervals or triggered by predefined conditions rather than continuous monitoring, allowing the processor to enter low-power states between event checks while still maintaining the ability to quickly detect and respond to relevant events
Solution Approach 2:
The system dynamically adjusts its monitoring behavior based on the current state and context, activating intensive event monitoring only when appropriate conditions are met (such as when the device is in active use or when high-priority events are expected), and reducing monitoring intensity during low-activity periods to conserve energy
Data Source
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AI summary
A method includes receiving a designated event related to a second application while an execution screen of a first application is displayed on a display. The method also includes executing an artificial intelligent application in response to the designated event. The method further includes transmitting data related to the designated event to an external server, based on the executed artificial intelligent application. Additionally, the method includes sensing a user utterance related to the designated event for a designated period of time. The method also includes transmitting the user utterance to the external server. The method further includes receiving an action order for performing a function related to the user utterance from the external server. The method also includes executing the second application at least based on the received action order. The method further includes outputting a result of performing the function by using the second application.