Dynamic Microphone Activation Timing for Voice Input
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Solution Overview
Problem
Electronic devices face challenges in managing power consumption for voice input, as activating the microphone too early can miss part of the voice signal, while delaying deactivation leads to unnecessary power usage.
Innovation Solution
Determining the optimal activation time of the microphone based on the context of the user terminal, such as active applications or locked states, to balance power efficiency and signal reception.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the microphone is activated early to ensure complete voice signal capture, then the reliability of voice input is improved, but the power consumption increases
Solution Approach 1:
The patent applies dynamics by making the microphone activation time adjustable based on context information. The system dynamically determines the optimal activation timing considering factors like application type and device state, rather than using a fixed activation time. This allows the system to adapt between early activation (for reliability) and later activation (for power saving) depending on the situation.
Solution Approach 2:
The patent changes the parameter of microphone activation time based on different context conditions. By modifying this temporal parameter according to application context, the system optimizes the balance between capturing complete voice signals and minimizing power consumption. Different context scenarios trigger different activation timing parameters.
2Loss of energy
If the microphone is deactivated early to reduce power consumption, then the power efficiency is improved, but the voice signal may be incomplete
Solution Approach 1:
The system dynamically adjusts the microphone deactivation timing based on context information. Instead of a fixed deactivation time, the system considers the current application state and determines the optimal moment to deactivate, ensuring power savings without compromising voice signal completeness. This dynamic approach resolves the contradiction between early deactivation (power saving) and late deactivation (signal completeness).
Solution Approach 2:
The patent modifies the deactivation time parameter of the microphone based on contextual factors. By changing this temporal parameter adaptively, the system achieves optimal power efficiency while ensuring complete voice capture. The parameter adjustment is driven by context information such as application type and device state.
3Use of energy by moving object
If the microphone activation time is delayed to save power, then the power consumption is reduced, but the reaction speed of speech recognition service decreases
Solution Approach 1:
The system applies dynamics by adjusting microphone activation timing based on context. For applications requiring fast response, the system activates the microphone earlier, sacrificing some power for speed. For power-critical applications, it delays activation. This dynamic context-based adjustment resolves the contradiction between early activation (fast response) and late activation (power saving).
Solution Approach 2:
The patent changes the microphone activation time parameter according to context information and application requirements. By adaptively modifying this temporal parameter, the system optimizes the trade-off between reaction speed and power consumption. Different contexts trigger different activation timing parameters to balance speed and energy efficiency.
4Reliability
If the microphone remains active for a long time to capture all voice inputs, then the completeness of voice recognition is improved, but unnecessary power is consumed
Solution Approach 1:
The system dynamically determines the optimal microphone activation and deactivation times based on context information. This dynamic timing control ensures the microphone is active only during necessary periods for complete voice capture, rather than remaining continuously active. The context-driven dynamic adjustment resolves the contradiction between extended activation (completeness) and prolonged operation (power consumption).
Solution Approach 2:
The patent modifies both activation and deactivation time parameters of the microphone based on contextual factors. By adaptively changing these temporal parameters, the system achieves complete voice recognition while minimizing unnecessary power consumption. The parameter adjustments are driven by context information such as application type, device state, and voice signal characteristics.
Data Source
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AI summary
An electronic device includes a speaker, a microphone, a communication circuit, a processor operatively connected to the speaker, the microphone, and the communication circuit, and a memory operatively connected to the processor. The memory stores instructions that, when executed, cause the processor to receive a user input to activate an intelligent system, to determine at least part of a duration to receive a user utterance via the microphone, based at least partly on a state of the electronic device, to receive a first user utterance via the microphone after receiving the user input, to transmit first data associated with the first user utterance to an external server via the communication circuit, and to receive a first response from the external server via the communication circuit. The first response is generated based at least partly on the first data.