Brain Wave Audio Enhancement for Adaptive Spatial Effects
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Solution Overview
Problem
Conventional audio enhancement techniques fail to autonomously adapt to individual listener expectations and emotional states, leading to dissatisfying experiences over time due to insufficient realism and manual adjustment requirements, which can reduce listening pleasure.
Innovation Solution
A system that detects brain wave signals across different frequency bands to dynamically adjust audio effects applied to multi-channel audio signals, enhancing listening pleasure by autonomously matching audio enhancements to the listener's mental state and emotional changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional audio enhancement techniques are used, then audio processing can be performed, but the enhancement experience becomes dissatisfying and weakened over time due to lack of autonomous adaptation to listener expectations
Solution Approach 1:
The system employs feedback loops where the neural network continuously monitors listener responses and adjusts audio enhancement parameters in real-time. This closed-loop control enables the system to adapt to changing listener expectations and maintain consistent satisfaction over time by dynamically modifying enhancement based on detected feedback signals.
Solution Approach 2:
The audio enhancement system performs autonomous adaptation without requiring manual user intervention. The neural network independently analyzes listener responses and self-adjusts enhancement parameters, eliminating the need for continuous manual tuning while maintaining adaptability to individual listener preferences and expectations.
2Adaptability or versatility
If manual adjustment of audio enhancement is provided through user interface, then customization is possible, but the listening process becomes distracted and listening pleasure is reduced
Solution Approach 1:
The system provides autonomous audio enhancement that automatically customizes parameters based on detected listener responses without requiring manual interface interaction. This self-service approach maintains customization capability while eliminating distractions from the listening experience, as the neural network independently manages all adjustment operations.
Solution Approach 2:
The patent replaces manual mechanical adjustment interfaces with a neural-based autonomous control system. Instead of requiring physical interaction with user interface elements, the system uses neural networks to detect listener responses and automatically adjust parameters, substituting mechanical control with intelligent autonomous adaptation.
3Extent of automation
If conventional audio enhancement techniques are used, then processing can be performed, but the techniques do not operate autonomously according to listener expectations
Solution Approach 1:
The system implements feedback mechanisms where neural networks continuously monitor listener responses and use this information to autonomously adjust audio enhancement parameters. This feedback-driven automation enables the system to operate independently while remaining highly adaptive to individual listener expectations and preferences.
Solution Approach 2:
The neural network dynamically changes audio enhancement parameters based on detected listener responses. By continuously adjusting parameters such as equalization, spatial effects, and dynamic range compression in response to real-time feedback, the system achieves both high automation and adaptability to listener expectations.
Data Source
AI summary
Neural induced enhancement of audio signals is provided to facilitate improving the listening pleasure of a user. An audio processor component can detect brain waves of a user at different frequency bands, analyze the brain wave signal in each of the different frequency bands, and can adjust one or more audio enhancement effects based at least in part on the results of the analysis. The audio processor component can adjust a spatial effect of audio signals, integrate a periodic or random variation on a spatial widening effect of audio signals, adjust a spatial effect of delayed audio signals, integrate a periodic or random variation on a spatial widening effect of the delayed audio signals, or adjust another audio enhancement effect(s) based at least in part on the analysis results, comprising information relating to the respective strengths of the one or more different frequency bands of the brain waves.