Automatic Audio Tuning System for Balanced Sound Output
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Solution Overview
Problem
Existing multimedia systems lack a complete chain of automatic tuning functionalities for optimizing sound output, particularly in vehicles, home theatres, and studios, requiring manual expertise and time-consuming processes.
Innovation Solution
An automated audio tuning system that includes a measurement engine, automatic tuning engine, signal flow integration, audio processing engine, and evaluation engine, enabling end-to-end tuning with flexible user interfaces for subjective and objective evaluations, allowing for re-tuning and fine-tuning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual tuning processes are used to optimize sound output, then tuning precision can be achieved, but time consumption and expertise requirements increase significantly
Solution Approach 1:
The system enables self-service automatic tuning by having the audio system tune itself through automated measurement and processing. The measurement engine collects sound field data, the tuning engine processes this data to generate tuning parameters, and these parameters are automatically applied to equalization filters, time alignment, and gain settings without requiring manual expert intervention, thus reducing both time and expertise requirements while maintaining precision
Solution Approach 2:
The patent replaces manual mechanical tuning processes with automated digital signal processing. Instead of manual measurement and adjustment, the system uses a measurement engine to collect data, a tuning engine to process it through algorithms, and automatically generates and applies tuning parameters to the audio signal flow, substituting human expertise with automated computational methods
2Reliability
If comprehensive tuning measurements and evaluations are performed, then tuning quality improves, but system complexity increases
Solution Approach 1:
The system segments the tuning process into distinct functional modules: a measurement engine for collecting sound field data, a tuning engine for processing measurements and generating parameters, a signal flow integration engine for organizing audio processing components, and an evaluation engine for validation. This modular segmentation allows comprehensive tuning functionality to be achieved while managing complexity through clear separation of concerns and standardized interfaces between modules
3Productivity
If automatic tuning is implemented, then productivity increases, but measurement and evaluation capabilities must be enhanced
Solution Approach 1:
The system implements feedback loops where the measurement engine continuously monitors the sound field, the tuning engine processes measurements to generate tuning parameters, and the evaluation engine validates results. This closed-loop feedback mechanism enables automatic tuning by using measured sound field data to drive adjustments, with the ability to iterate and refine tuning based on evaluation results, thereby enhancing measurement and evaluation capabilities to support high productivity
Data Source
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AI summary
According to an aspect of the present disclosure, there is provided an automatic audio tuning system, the system including: a measurement engine to obtain first measurements of one or more parameters associated with an audio signal from one or more loudspeakers; an automatic tuning engine to receive the first measurements and to generate a tuning signal based on the first measurements; a signal flow integration engine to receive the tuning parameters and to generate one or more components of a signal flow, wherein each of the one or more components of the signal flow represents an audio parameter that is tuneable based on the tuning signal; an audio signal processing engine to the one or more components of the signal flow and to generate a playback audio signal based on the one or more components of the signal flow; and an evaluation engine to enable an evaluation of the playback audio signal.