Speaker Unit Motion Detection for Automatic Sound-Field Calibration
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Solution Overview
Problem
Conventional sound systems require manual and iterative processes for speaker positioning and calibration, leading to sub-optimal sound fields and discouraging movement of speakers due to the complexity of setup and calibration.
Innovation Solution
A computer-implemented method for detecting speaker movement, determining position and orientation, and filtering audio signals to generate an optimized sound field without manual calibration, using a hub speaker unit and speaker units that automatically adjust to maintain an optimal listening experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual positioning and calibration of speakers is performed, then sound field optimization is achieved, but setup time and operational complexity increase
Solution Approach 1:
The speaker system automatically detects its own position using motion sensors and recalibrates the sound field without user intervention. The system self-adjusts by detecting speaker movement and dynamically modifying audio output to maintain optimal sound quality, eliminating the need for manual positioning and calibration.
Solution Approach 2:
The system continuously monitors speaker position through motion sensors and uses this feedback to dynamically adjust audio processing parameters. When movement is detected, the system receives position data, processes it through calibration algorithms, and modifies the sound field configuration accordingly, creating a closed-loop control system that maintains optimization automatically.
2Adaptability or versatility
If speakers are moved to different positions, then adaptability increases, but sound field optimization deteriorates
Solution Approach 1:
The system transitions from static sound field configuration to dynamic adaptation. Motion sensors continuously track speaker position changes, and the calibration module dynamically adjusts audio processing parameters in real-time based on detected movement, allowing the system to maintain optimization across various positions rather than being locked into a fixed configuration.
Solution Approach 2:
The system modifies audio processing parameters such as delay times, gain levels, and spatialization settings based on detected speaker position changes. By changing these parameters dynamically in response to movement detection, the system maintains sound field optimization regardless of speaker location, enabling both flexibility and precision.
3Manufacturing precision
If continuous calibration is performed, then sound quality is maintained, but processing resources and power consumption increase
Solution Approach 1:
Instead of continuous calibration, the system performs calibration periodically triggered by motion detection events. Motion sensors detect when speakers have moved, and only then does the system activate the calibration process. This event-driven approach maintains sound quality when needed while avoiding unnecessary processing and power consumption during stable periods.
Solution Approach 2:
The system skips calibration steps when no movement is detected, rushing through the calibration process only when necessary. By using motion sensors to identify when calibration is actually needed, the system eliminates redundant calibration operations, reducing processing resource usage and power consumption while maintaining sound quality consistency.
Data Source
AI summary
In various embodiments, a computer-implemented method comprises detecting that a speaker unit has moved to a first location, determining, based on positioning information associated with the speaker unit, a position and an orientation of the speaker unit relative to a target listening area, filtering, using a filter determined based on the position and the orientation, an input audio signal to generate a filtered audio signal, and outputting the filtered audio signal using one or more loudspeakers.