Active Audio Device Using AI Signal Classification
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Solution Overview
Problem
Conventional audio equipment, such as earphones and headphones, require manual adjustment of volume and noise cancelling functions, which can be cumbersome and may lead to unawareness of dangerous situations.
Innovation Solution
Active audio equipment employing an artificial intelligence algorithm that includes an ear cap, data input unit, output unit, audio detection unit, determination unit, and control unit, which automatically adjusts audio output and noise cancelling functions based on detected external audio signals and user patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual volume control and noise cancelling functions are implemented, then audio quality can be adjusted, but user convenience deteriorates due to required manual adjustment
Solution Approach 1:
The audio equipment automatically detects external audio signals and adjusts volume and noise cancelling settings without user intervention. The determination unit analyzes detected signals and the control unit automatically modifies audio output parameters, enabling the system to serve itself rather than requiring manual user control.
Solution Approach 2:
The audio detection unit continuously monitors external audio signals and feeds this information back to the determination unit, which then adjusts the control parameters and notifies the control unit to modify audio output. This closed-loop feedback mechanism enables automatic adaptation to changing acoustic environments.
2Object-affected harmful factors
If noise cancelling function is activated, then external noise interference is reduced, but user safety deteriorates due to unawareness of dangerous situations
Solution Approach 1:
The determination unit classifies external audio signals into different types (e.g., noise, speech, danger signals) and applies different processing strategies to each class. Noise cancelling is selectively applied to harmful noise frequencies while preserving or enhancing important sounds like danger signals, creating localized quality differentiation in noise management.
Solution Approach 2:
The noise cancelling function dynamically adjusts its operation based on real-time signal classification. When danger signals are detected, the system automatically modifies or disables noise cancelling for those specific frequencies, allowing the noise management strategy to change adaptively rather than remaining static.
3Ease of operation
If automatic audio adjustment is implemented, then user convenience is improved, but device complexity increases due to additional detection and determination units
Solution Approach 1:
The determination unit performs multiple functions: it classifies audio signals, determines appropriate control parameters, and decides when to activate or deactivate noise cancelling. This multi-functional component consolidates what could be separate systems, reducing overall device complexity while enabling automatic audio adjustment.
Data Source
AI summary
The present invention relates to an active sound device utilizing audio recognition, the device comprising a data input unit for inputting audio data from an external terminal, an output unit for outputting the inputted audio data, an audio detection unit for detecting an audio signal generated from outside, a determination unit for determining the audio signal detected by the audio detection unit, and a control unit for, on the basis of information determined by the determination unit, controlling the output of the audio data inputted from the data input unit.