Playback Calibration State Tracking for Consistent Networked Audio
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Solution Overview
Problem
Existing media playback systems lack efficient mechanisms to maintain and update the calibration state of playback devices across a networked system, leading to inconsistencies in audio playback quality due to environmental changes and device reconfiguration.
Innovation Solution
Implementing a calibration state variable that is stored on playback devices and shared across the system, allowing devices to retain their calibrated state through power-cycling and updating based on environmental changes, and triggering recalibration when necessary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If calibration state is not maintained across power cycles, then device can be reconfigured freely, but audio playback quality becomes inconsistent
Solution Approach 1:
The system performs calibration before normal operation and stores the calibration state variable persistently. When the device powers back on, it retrieves the stored calibration state and restores audio processing parameters without requiring full recalibration, thus maintaining audio consistency while avoiding repeated complex calibration procedures.
Solution Approach 2:
The system continuously monitors the calibration state variable and compares it against expected values. When environmental changes or device reconfigurations occur, the system detects these changes through feedback mechanisms and triggers appropriate recalibration actions to maintain audio playback quality consistency.
2Reliability
If calibration is performed frequently, then audio playback quality is maintained, but system efficiency decreases
Solution Approach 1:
Instead of continuous calibration, the system performs calibration periodically based on stored state variables and triggers recalibration only when necessary conditions are met (such as environmental changes or device movements detected via sensors). This periodic approach maintains audio quality while minimizing the time and resources spent on calibration operations.
Solution Approach 2:
The system automatically manages calibration state without requiring user intervention. It autonomously determines when calibration is needed by monitoring environmental sensors and device state changes, performs calibration when necessary, and restores operation seamlessly, thus maintaining high system efficiency while ensuring audio quality.
3Stability of the object's composition
If calibration state is shared across networked devices, then system-wide consistency is achieved, but network communication overhead increases
Solution Approach 1:
The system extracts only the essential calibration state variables and transmits them over the network when changes occur, rather than continuously sharing all calibration data. This selective transmission approach achieves system-wide consistency while minimizing network communication overhead and energy consumption.
Solution Approach 2:
The system monitors changes in calibration state parameters and only initiates network communication when parameter changes exceed predefined thresholds. This event-driven approach ensures that networked devices receive updates only when necessary, maintaining system-wide consistency while reducing unnecessary network traffic and energy expenditure.
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.