Location-Based Audio Processing for Automatic Listening Zone Adjustment
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Solution Overview
Problem
Existing audio reproduction devices require manual adjustment of settings based on the user's immediate environment, which can be cumbersome and intrusive, leading to an inconsistent audio experience.
Innovation Solution
Implementing an adaptive audio component that determines a user's location within an environment and dynamically applies audio processing parameters to audio reproduction devices, such as headphones and loudspeakers, using sensors and communication protocols to adjust settings automatically based on predefined zones or machine learning models.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual adjustment of audio settings is implemented, then audio reproduction quality can be optimized for specific environments, but user convenience deteriorates due to frequent attention and technical competence requirements
Solution Approach 1:
The system automatically detects user location through sensors (GPS, accelerometers, gyroscopes) and applies appropriate audio processing parameters without user intervention. The device serves itself by monitoring environmental context and autonomously adjusting audio settings, eliminating the need for manual user configuration while maintaining optimized audio quality.
Solution Approach 2:
The system continuously monitors user location and movement data, processes this information through machine learning models, and dynamically adjusts audio processing parameters in real-time. This closed-loop feedback mechanism ensures audio settings automatically adapt to changing environmental contexts, maintaining optimal reproduction quality without user involvement.
2Adaptability or versatility
If multiple audio processing features are provided, then audio experience can be customized and improved, but device complexity increases making controls overwhelming and intrusive
Solution Approach 1:
The system automatically selects and applies appropriate audio processing parameters based on detected location and environmental context. Machine learning models determine the optimal combination of features (noise cancellation, spatial audio, equalization) without requiring user configuration, thereby providing comprehensive audio customization while maintaining simple device controls.
Solution Approach 2:
The system dynamically changes multiple audio processing parameters simultaneously based on location data, including but not limited to noise cancellation levels, spatial audio configuration, and equalization settings. This coordinated parameter adjustment provides comprehensive audio adaptation while presenting a unified, simple interface to the user.
3Ease of operation
If automatic location-based audio processing is implemented, then user convenience is improved by eliminating manual adjustments, but device complexity increases due to sensors and processing requirements
Solution Approach 1:
The system uses a multi-functional approach where existing sensors (GPS, accelerometers, gyroscopes) serve both their primary navigation/motion detection functions and secondary audio processing control functions. This multi-functionality reduces the need for additional dedicated hardware while enabling automatic location-based audio adjustment, thereby improving convenience without proportionally increasing device complexity.
Data Source
AI summary
Techniques, computing devices, and systems for location based audio processing are described. An example technique includes determining, at a point in time, a location of a user within an environment including one or more audio reproduction devices. A set of audio processing parameters is determined based on the location of the user. The set of audio processing parameters is applied to at least one audio reproduction device of the one or more audio reproduction devices while audio content is output from the at least one audio reproduction device.