Automatic Equalizer Preference Transfer Across Audio Modes
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Solution Overview
Problem
Existing audio equalizer systems require users to manually adjust multiple equalizer modes for different audio signals, leading to time-consuming and repetitive adjustments, which diminishes user enjoyment and increases installation time, even with dynamic methods that use sound type information.
Innovation Solution
An automatic equalizer adjustment method that determines changes in one equalizer mode based on user preferences and applies these preferences to other modes using audio signal content information, eliminating the need for users to define preferences for each mode individually, by detecting and transposing gain values across modes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If users manually adjust multiple equalizer modes for different audio signals, then each mode can be optimized for specific sound types, but the adjustment process becomes time-consuming and repetitive
Solution Approach 1:
The system performs preliminary analysis of audio signal content (music genre, tempo, instrumentation) and pre-determines optimal equalizer mode assignments. This preliminary action eliminates the need for users to manually adjust each mode during actual use, as the system has already prepared appropriate settings based on detected signal characteristics.
Solution Approach 2:
The equalizer system automatically analyzes audio signal content and self-adjusts mode assignments without requiring user intervention. The system serves itself by detecting signal type information and autonomously selecting or adjusting appropriate equalizer modes, thereby eliminating repetitive manual adjustments while maintaining optimization.
2Ease of operation
If dynamic methods use sound type information to automatically change equalizer modes, then user adjustments are reduced, but all equalizer modes still require preliminary user adjustment and checking
Solution Approach 1:
The system automatically analyzes audio signal content and self-adjusts mode assignments without requiring user intervention. The system serves itself by detecting signal type information and autonomously selecting or adjusting appropriate equalizer modes, thereby eliminating repetitive manual adjustments while maintaining optimization.
Solution Approach 2:
The system dynamically changes equalizer mode parameters based on detected audio signal characteristics such as music genre, tempo, and instrumentation. By automatically adjusting frequency response parameters according to signal type, the system eliminates the need for users to pre-configure all modes while maintaining optimized performance.
3Measurement precision
If users define preferences for each equalizer mode individually, then precise user preferences are captured, but the definition process takes substantial time
Solution Approach 1:
The system uses a single set of user preference definitions that universally applies across all equalizer modes. By analyzing audio signal content and automatically selecting appropriate modes based on pre-defined preferences, the system makes one preference definition serve multiple modes simultaneously, eliminating the need for separate definitions for each mode while maintaining precision.
Solution Approach 2:
The system performs preliminary analysis of audio signal content and pre-determines optimal equalizer mode assignments. This preliminary action eliminates the need for users to manually adjust each mode during actual use, as the system has already prepared appropriate settings based on detected signal characteristics.
Data Source
Figure 1~2b
Figure 2c~3
AI summary
The method according to the present invention relates to an automatic equalizer adjustment method, which is based on evaluating the changes made in an equalizer mode according to user preferences, thereby automatically adjusting the remaining equalizer modes in a system wherein content-dependent automatic equalizer assignment is conducted by detecting the content information of an audio signal.. Thus, user preferences defined by a user for a single equalizer mode are applied to other equalizer modes automatically, so that the necessity for the user to define his/her preferences for other equalizer modes is eliminated. By means of the method according to the present invention, any desired or ideal sound tone and/or quality is obtained for any type of audio signal with the users providing minimum data input to sound systems to reflect their preferences.