Adaptive Audio Processing Tuning for Spatial Sound Environments

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Solution Overview

Problem

Existing audio processing systems face challenges in achieving optimal performance due to fixed parameter settings that compromise between different user environments and preferences, leading to sub-optimal user experiences and limited adaptation of new technologies.

Innovation Solution

Implementing a learning process that adaptively modifies audio processing parameters based on user control settings and spatial sound environments over time, utilizing continuous learning to determine user preferences and typical sound environments, allowing for dynamic adjustment of tuning parameters.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If fixed parameter settings are used for audio processing, then device complexity is reduced and ease of manufacture is improved, but adaptability to different user environments and preferences deteriorates

Engineering Contradiction:

Improveadaptability to user environments and preferencesVSAvoidcomplexity of audio processing system

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The audio processing system automatically monitors user control settings and spatial sound environments, then self-adjusts tuning parameters without requiring manual reconfiguration. The system serves itself by learning from user behavior patterns and environmental characteristics to optimize audio processing parameters dynamically.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system implements a feedback loop where user control settings and spatial sound environment data are continuously monitored and fed back to the parameter adjustment mechanism. This feedback enables the system to learn from user preferences and environmental conditions, dynamically optimizing audio processing parameters over time.

Inventive Principle:

Principle #23Feedback

2Manufacturing precision

If fixed parameter settings are used, then manufacturing precision is improved through standardized production, but user satisfaction deteriorates due to sub-optimal audio quality in specific environments

Engineering Contradiction:

Improvestandardization of audio processing parametersVSAvoidaudio quality consistency across environments

Core Design Contradiction:

Manufacturing precisionVSReliability

Solution Approach 1:

The system transitions from static fixed parameters to dynamic adjustable parameters. Tuning parameters are no longer fixed during manufacturing but can change dynamically based on monitored user control settings and spatial sound environments, allowing the system to adapt to different usage scenarios while maintaining manufacturing simplicity.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system changes audio processing parameters based on learned user preferences and environmental characteristics. By monitoring control settings and spatial sound parameters over time, the system adjusts tuning parameters to optimize audio quality for specific users and environments, resolving the conflict between standardized manufacturing and environment-specific optimization.

Inventive Principle:

Principle #35Parameter changes

3Adaptability or versatility

If historical analysis of user control settings is used for adaptation, then adaptability is improved, but loss of time occurs due to extended learning periods before optimal performance is achieved

Engineering Contradiction:

Improveadaptation to user preferencesVSAvoidtime required for learning period

Core Design Contradiction:

Adaptability or versatilityVSLoss of time

Solution Approach 1:

The system performs continuous monitoring and learning of user control settings and spatial sound environments throughout operation. Rather than requiring a separate initial learning period, the system continuously accumulates data and adjusts parameters in real-time, eliminating idle learning time while maintaining useful audio processing functionality throughout the adaptation process.

Inventive Principle:

Principle #20Continuity of useful action

Data Source

PatentUS20260040023A1Audio Processing Adaptation

Publication Date: 2026.02.05 NOKIA TECHNOLOGIES OY

AI summary

A method for: obtaining at least one microphone audio signal; obtaining at least one spatial sound environment parameter associated with the at least one microphone audio signal; obtaining at least one monitored control setting, the monitored control setting determined by monitoring a plurality of control settings for an audio application based on monitoring; adjusting at least one audio application tuning parameter based on at least one of: the at least one spatial sound environment parameter; or the at least one monitored control setting; and controlling the audio application based on the at least one audio application tuning parameter, the application including an audio signal processing of the at least one microphone audio signal.