Dynamic Audio Equalization for Consistent Playback Quality
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Solution Overview
Problem
Conventional audio equalization settings fail to adapt dynamically to the varying characteristics of different audio sources and genres, requiring frequent manual adjustments by users, which can lead to an inconsistent listening experience.
Innovation Solution
The implementation of a neural network-based system that analyzes real-time audio characteristics and applies dynamic equalization settings, including filters and smoothing techniques, to optimize playback settings automatically, using a library of reference media profiles optimized by audio engineers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional audio equalization settings are used, then the system is simple and easy to operate, but the audio quality is inconsistent across different sources and genres
Solution Approach 1:
The patent implements dynamic equalization by continuously analyzing audio characteristics in real-time and automatically adjusting equalization parameters based on the detected genre and source characteristics, transforming static equalization settings into adaptive dynamic settings that maintain consistent audio quality across different media
Solution Approach 2:
The system incorporates feedback mechanisms by analyzing the output audio signal characteristics and using this information to automatically adjust equalization parameters, creating a closed-loop control system that maintains optimal audio quality without manual intervention
2Reliability
If manual equalization adjustments are made frequently, then the audio quality can be optimized for different sources, but the user experience is disrupted and time is lost
Solution Approach 1:
The system performs self-service by automatically detecting audio source characteristics and genre, then autonomously selecting and applying appropriate equalization settings without requiring user intervention, thereby eliminating the time loss associated with manual adjustments while maintaining optimized audio quality
3Adaptability or versatility
If dynamic equalization adjustment is implemented, then the listening experience is improved, but the system complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the audio processing into distinct functional modules: audio characteristic analysis, genre classification, equalization parameter selection, and parameter adjustment. This modular segmentation manages system complexity by organizing the adaptive equalization function into manageable, independent components that can be developed and maintained separately
Data Source
AI summary
Methods, apparatus, systems and articles of manufacture are disclosed for audio equalization. Example instructions disclosed herein cause one or more processors to at least: detect an irregularity in a frequency representation of an audio signal in response to a change in volume between a set of frequency values exceeding a threshold; and adjust a volume at a first frequency value of the set of frequency values to reduce the irregularity.