Neural EQ Personalization for Consistent Audio Playback
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional audio playback systems require frequent manual adjustments of equalization settings due to varying audio characteristics across different media sources and genres, leading to an inconsistent listening experience.
Innovation Solution
A system that dynamically adjusts audio playback settings, such as equalization, based on real-time analysis of audio signals using a neural network trained on reference media, incorporating smoothing filters to avoid perceptible changes and thresholding techniques to smooth out equalization curves.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual adjustments of equalization settings are used, then users can control audio playback, but frequent adjustments are required due to varying audio characteristics across different media sources and genres
Solution Approach 1:
The system automatically analyzes audio characteristics and adjusts equalization settings without requiring user intervention. The media unit performs real-time analysis of incoming audio signals and dynamically modifies playback settings to optimize sound quality across different media sources and genres.
Solution Approach 2:
The system continuously monitors audio characteristics and uses this feedback to dynamically adjust equalization settings. By analyzing the audio signal properties in real-time and comparing them against optimal parameters, the system automatically adapts the playback settings to maintain consistent audio quality.
2Reliability
If dynamic adjustment of audio playback settings is implemented, then consistent listening experience is achieved, but system complexity increases
Solution Approach 1:
The media unit integrates multiple functions including audio analysis, characteristic detection, and equalization adjustment within a single device. This multi-functional approach enables consistent audio playback across different media sources without requiring separate dedicated devices for each function.
Solution Approach 2:
The system dynamically changes playback parameters based on real-time audio analysis. By continuously monitoring audio characteristics and adjusting equalization parameters accordingly, the system maintains consistent listening experience while adapting to varying media sources and genres.
3Productivity
If real-time analysis of audio signals is performed, then optimized playback settings are achieved, but processing requirements increase
Solution Approach 1:
The system performs real-time analysis of audio signals by extracting key characteristics from the audio stream and using these partial features to drive equalization adjustments. This approach provides optimized playback settings without requiring complete and exhaustive analysis of all audio parameters.
Data Source
AI summary
Methods, apparatus, systems and articles of manufacture are disclosed to adjust audio playback settings. Example apparatus disclosed herein include an equalization (EQ) model query generator to generate a query to a neural network, the query including a representation of a sample of an audio signal; an EQ filter settings analyzer to: access a plurality of audio playback settings determined by the neural network based on the query; and determine a filter coefficient to apply to the audio signal based on the plurality of audio playback settings; an EQ personalization manager to; generate a personalized EQ setting; and an EQ adjustment implementor to: blend the personalized EQ setting and the filter coefficient to generate a blended equalization; and apply the blended equalization to the audio signal in a first duration.