Volume-Dependent Bass Processing for Dynamic Range and Speaker Protection
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Solution Overview
Problem
Existing methods for improving low-frequency sound rendition fail to optimally adjust audio signal parameters according to volume levels, leading to suboptimal dynamic range and bandwidth at both low and high volumes, and do not adequately protect loudspeakers from parasitic vibrations at high volumes.
Innovation Solution
A method and system that vary multiple audio signal parameters such as compression rate, release time, attack time, recovery time, threshold, and gain compensation, as well as high-pass filter characteristics, based on user-selected volume levels to optimize dynamic range and bandwidth, ensuring optimal sound rendition without compromising power handling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If audio signal parameters are adjusted to optimize low-frequency sound rendition at high volume levels, then parasitic vibrations of loudspeakers are reduced, but dynamic range and bandwidth deteriorate at low volume levels
Solution Approach 1:
The patent applies dynamics by making the audio signal processing parameters adjustable and volume-dependent. Different sets of filtering and compression parameters are applied based on the detected volume level, allowing the system to adapt between reducing parasitic vibrations at high volumes and maintaining dynamic range at low volumes. This is implemented through a processor that selects parameter sets based on volume detection.
Solution Approach 2:
The patent changes physical parameters of the audio signal processing based on volume level. Specifically, filtering parameters (cut-off frequencies, Q factors) and compression parameters (thresholds, ratios, attack/release times) are modified according to the detected volume, enabling optimal performance across different operating conditions.
2Adaptability or versatility
If audio signal parameters are adjusted to increase dynamic range at low volume levels, then sound quality is improved, but parasitic vibrations increase at high volume levels
Solution Approach 1:
The system dynamically switches between different parameter configurations based on volume level. At low volumes, parameters are optimized for maximum dynamic range and bandwidth. At high volumes, parameters are adjusted to minimize parasitic vibrations, even if this reduces dynamic range slightly. This dynamic adaptation resolves the contradiction.
Solution Approach 2:
Different sets of audio processing parameters are applied conditionally based on volume detection. The system changes filtering characteristics and compression settings according to the operating volume, allowing optimal low-frequency rendition across the full volume range without compromising either dynamic range or vibration control.
3Strength
If static gain adjustment is used to protect loudspeakers at high volume levels, then power handling is improved, but sound quality and dynamic range are compromised
Solution Approach 1:
Instead of static gain adjustment, the patent employs volume-dependent parameter changes including dynamic compression with adjustable thresholds and ratios, and adaptive filtering with variable cut-off frequencies. This allows the system to protect loudspeakers through intelligent signal management rather than simple gain reduction, preserving sound quality while ensuring safe operating levels.
Solution Approach 2:
The system implements feedback by detecting the actual volume level and using this information to adjust processing parameters in real-time. This closed-loop approach allows the system to respond to actual operating conditions, protecting loudspeakers only when necessary while maintaining optimal sound quality across all volume levels.
Data Source
AI summary
A system and method for optimizing the low-frequency sound rendition of an audio signal, implementing variations in a plurality of parameters of the audio signal according to the volume level of the signal chosen by a user, in particular filtering or compression parameters, or parameters relating to the harmonics of the audio signal, while seeking to optimize the dynamics and the bandwidth of the audio signal according to the volume, in order to provide an optimal rendition to the user.