Multi-Speaker Volume Mapping for Balanced Sound Pressure
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Solution Overview
Problem
In multi-speaker systems, adjusting volume levels across speakers from different manufacturers can result in disproportionate changes, leading to perceived imbalances due to non-standardized relationships between logical volume levels and actual sound pressure levels.
Innovation Solution
A method involving a lookup table to convert selected sound pressure levels into product-specific logical volume levels for each speaker, ensuring balanced volume adjustments by transmitting the appropriate data to each speaker.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a standardized logical volume level is sent to multiple speakers from different manufacturers, then the control system is simple and easy to operate, but the actual sound pressure levels will be imbalanced between speakers
Solution Approach 1:
The system performs preliminary calibration measurements during manufacturing or initial setup to establish speaker-specific lookup tables that map logical volume levels to actual sound pressure levels. These tables are stored in the control system, allowing it to pre-compensate for individual speaker variations before normal operation begins.
Solution Approach 2:
The system changes the mapping parameters between logical volume levels and actual sound pressure levels for each speaker based on measured characteristics. By adjusting the lookup table entries for each speaker individually, the system compensates for manufacturing variations and ensures consistent perceived volume across all speakers.
2Manufacturing precision
If speaker-specific lookup tables are implemented to balance sound pressure levels, then volume balance between speakers is improved, but the system complexity increases
Solution Approach 1:
Instead of implementing complex real-time measurement and adjustment hardware for each speaker, the system creates simplified digital copies (lookup tables) of the speaker characteristics. These tables store pre-measured mapping data that replicates the complex acoustic behavior in a simple data structure, allowing software-based compensation without additional hardware complexity.
Solution Approach 2:
The complex measurement and table generation process is performed once during manufacturing or initial setup, then the results are stored for reuse. This preliminary action eliminates the need for continuous complex measurements during normal operation, reducing ongoing system complexity while maintaining precision.
Data Source
AI summary
When the volume is adjusted in a multi-speaker system, it is desirable that one speaker does not change volume disproportionately with respect to another speaker. A method is presented for adjusting a volume level of one or more speakers. Each speaker can have a non-standardized relationship between logical volume level that is input to the speaker and sound pressure level that is produced by the speaker. A selected volume level, corresponding to a sound pressure level, can be received via a user interface. A stored lookup table can be accessed to convert the sound pressure level to a first product-specific logical volume level for each speaker. The stored lookup table can tabulate the non-standardized relationship between logical volume level and sound pressure level for each speaker. Data corresponding to the first product-specific logical volume level can be transmitted to each speaker.