Audio Output Device Automatic Sound Compensation
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Solution Overview
Problem
Existing electronic devices face challenges in automatically compensating sound output based on the spatial characteristics of their installation environment, leading to suboptimal sound quality due to factors like booming phenomena and sound absorption, requiring manual user intervention for sound compensation.
Innovation Solution
An electronic device equipped with an audio output device, a microphone, and a processor that automatically calculates and updates sound compensation values based on extracted characteristic information, using a learning model to identify spatial characteristics such as installation state, distance from walls, and sound absorption levels, without requiring manual user operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If sound compensation is performed manually by user operation, then sound quality can be optimized for specific spatial characteristics, but user convenience deteriorates due to the need for manual intervention
Solution Approach 1:
The electronic device automatically performs sound compensation by itself without requiring user operation. The processor extracts characteristic information from the sound environment, calculates appropriate sound compensation values, and applies them automatically, enabling the device to serve itself in optimizing its sound output for the specific spatial characteristics where it is installed
Solution Approach 2:
The system uses the microphone to capture the actual sound environment and feeds this information back to the processor. The processor analyzes the characteristic information from the feedback signal and automatically adjusts the sound compensation values accordingly, creating a closed-loop system that continuously optimizes sound quality based on the actual acoustic conditions
2Ease of operation
If automatic sound compensation is implemented, then user convenience is improved by eliminating manual operation, but device complexity increases due to additional processing requirements
Solution Approach 1:
The processor performs multiple functions using the same hardware components. The audio output device outputs both the original audio signal and the test signal for measurement. The microphone serves both as an ambient sound sensor and as a measurement device for the test signal. This multi-functionality reduces the need for separate dedicated components, thereby limiting the increase in device complexity
Solution Approach 2:
The system performs preliminary sound environment measurement and analysis when the device is first installed or when conditions change. By pre-calculating and storing sound compensation values based on characteristic information extracted during this preliminary phase, the system avoids continuous complex processing during normal operation, thus reducing overall processing complexity while maintaining automatic adaptation capability
3Reliability
If sound compensation values are calculated based on extracted characteristic information, then sound quality is optimized for the specific installation environment, but processing time increases due to real-time analysis requirements
Solution Approach 1:
The system performs sound environment analysis and calculates sound compensation values in advance during an initial measurement phase or when installation conditions change. By pre-calculating these values based on extracted characteristic information and storing them for future use, the system avoids continuous real-time processing during normal audio playback, thereby reducing processing time while maintaining optimized sound quality
Solution Approach 2:
Instead of continuous real-time analysis, the system performs sound environment measurement and compensation value calculation periodically or event-driven (e.g., when the device is moved or installation conditions change). This periodic approach reduces overall processing time while still maintaining sound quality optimization adapted to the current spatial characteristics
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The device provides automatic sound compensation tailored to the specific spatial characteristics of its environment, enhancing sound quality by eliminating the need for user intervention and ensuring optimal sound output without manual adjustments.
Implementation Method 1
a microphone; and a processor configured to: extract, based on a sound corresponding to the content being output from the audio output device and input to the microphone, characteristic information from the sound input to the microphone
Data Source
AI summary
Disclosed is an electronic device. The electronic device includes: an audio output device comprising circuitry configured to output a sound; a microphone; and a processor configured to control, based on a content being selected, the audio output device to output an audio signal corresponding to the content using a sound compensation value, wherein the processor is configured to: extract, based on a sound corresponding to the content being output from the audio output device and input to the microphone, characteristic information from the sound input to the microphone, calculate a sound compensation value based on the extracted characteristic information, and update the sound compensation value with the calculated sound compensation value.