Shared Calibration State for Multi-Room Audio Playback
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Solution Overview
Problem
Existing media playback systems face challenges in maintaining calibration across multiple playback devices and zones, particularly when devices are powered off and on or reconfigured, leading to inconsistencies in audio quality due to varying acoustic environments.
Innovation Solution
The implementation of a calibration state variable that is stored and shared across devices within a media playback system, allowing for the maintenance of calibration status through power cycling and environmental changes, with mechanisms to trigger recalibration when necessary, such as changes in zone configuration or physical location.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If calibration is performed for each playback device individually, then audio quality is optimized for each device, but calibration consistency across multiple devices and zones deteriorates
Solution Approach 1:
The system divides calibration management into device-specific calibration profiles and zone-level coordination. Each playback device maintains its own calibration profile (segmented data), while a coordinating device ensures consistency across zones. This segmentation allows individual optimization while maintaining overall system consistency through structured data organization and distributed management.
2Adaptability or versatility
If playback devices are powered off and on or reconfigured for flexibility, then system adaptability improves, but calibration state is lost leading to audio quality degradation
Solution Approach 1:
The system performs preliminary actions by storing calibration profiles in a centralized database before devices are powered off or reconfigured. When devices restart or are moved to different zones, they automatically retrieve their pre-stored calibration profiles, eliminating the need to recalibrate. This preliminary storage of calibration data ensures that flexibility in power cycling and reconfiguration does not compromise calibration reliability.
3Ease of operation
If calibration data is stored locally on each device, then device autonomy is maintained, but calibration state sharing across devices deteriorates
Solution Approach 1:
The system merges local device autonomy with centralized calibration management by implementing a hybrid architecture. Each playback device maintains local calibration profiles for autonomous operation, while a centralized database stores copies of these profiles for sharing across the network. This merging allows devices to operate independently while simultaneously enabling calibration state sharing across multiple devices and zones through the centralized repository.
4Stability of the object's composition
If recalibration is triggered frequently to maintain accuracy, then audio quality consistency is improved, but system complexity and processing overhead increase
Solution Approach 1:
The system implements feedback mechanisms that monitor calibration validity conditions such as device movement, zone changes, and environmental modifications. Rather than frequent recalibration, the system triggers recalibration only when feedback indicates calibration has become invalid. This conditional feedback approach maintains audio quality consistency while avoiding unnecessary recalibration operations, thereby reducing system complexity and processing overhead.
Data Source
AI summary
Example techniques involve a calibration state variable. An example implementation receives, via a network interface, an indication that the first playback device is calibrated. Based on receiving the indication that the first playback device is calibrated, the example implementation updates a calibration state variable to indicate that the first playback device is calibrated, wherein the calibration state variable is stored in the data storage. The example implementation sends, via the network interface, an indication of the updated calibration state variable to a second device.