Mid-Frequency Audio Filtering That Preserves Natural Equalization
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Solution Overview
Problem
Existing audio processing systems in vehicles, such as car HiFi systems, require manual equalization by users, which can be inconvenient and may not maintain the natural sound characteristics of audio content due to lack of adaptive filtering techniques.
Innovation Solution
A device and method for processing audio data that includes a mid-frequency filter unit capable of selectively scaling amplitudes of different frequency sub-components to preserve original amplitude relations, allowing for automated equalization and improved sound quality, particularly through mid-range boost compression with linear scaling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual equalization is used in car HiFi systems, then users can adjust audio characteristics, but the operation convenience deteriorates and natural sound characteristics are not maintained
Solution Approach 1:
The system performs automatic equalization by analyzing the acoustic environment and autonomously adjusting frequency sub-component amplitudes, eliminating the need for manual user operation while maintaining natural sound characteristics
Solution Approach 2:
The system dynamically changes audio parameters (amplitudes of frequency sub-components) based on acoustic environment analysis, enabling adaptive filtering that maintains sound characteristics without manual intervention
2Manufacturing precision
If amplitude scaling is applied to mid-frequency components, then sound quality is improved, but the complexity of the processing device increases
Solution Approach 1:
The audio signal is divided into multiple frequency sub-components, and amplitude scaling is selectively applied to mid-frequency components while preserving other frequency ranges, improving sound quality through targeted processing rather than comprehensive filtering
Solution Approach 2:
Different amplitude scaling is applied to different frequency sub-components based on their specific characteristics, with mid-frequency components receiving special processing to maintain natural sound while reducing overall system complexity
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 solution enables automatic equalization in vehicles, maintaining sound characteristics and improving listening quality by adjusting filter parameters based on the acoustic environment, ensuring balanced and natural sound reproduction for all passengers.
Implementation Method 1
a mid-frequency filter unit adapted to selectively filter a mid-frequency range component of the audio data in such a manner that amplitudes of different frequency sub-components of the mid-frequency range component of the audio data are scaled
Data Source
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AI summary
A device (100) for processing audio data (101), wherein the device (100) comprises a mid-frequency filter unit (105) adapted to selectively filter a mid-frequency range component of the audio data (101) in such a manner that amplitudes of different frequency sub components of the mid-frequency range component of the audio data (101) are scaled so that the scaled amplitudes reflect relations between the original amplitudes of the different frequency sub-components.