DSP Audio Tuning With Environmental Sensing for Stable Speaker Output
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Solution Overview
Problem
Audio systems face challenges in maintaining sound quality due to variations in temperature, altitude, and humidity, leading to signal distortions and unstable sound when used in environments different from their calibration conditions.
Innovation Solution
A digital signal processor (DSP) method that adjusts audio signals based on real-time sensor data for temperature, altitude, and humidity, using dynamic compensation transfer functions and neural networks to optimize gain and time lag adjustments, ensuring consistent sound quality across changing environmental conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If audio systems are calibrated in controlled laboratory environments, then sound quality is optimized under specific conditions, but the system performance deteriorates when used in different environmental conditions
Solution Approach 1:
The patent implements dynamic environmental compensation by continuously monitoring temperature, altitude, and humidity sensors and adjusting audio signal parameters in real-time. The system transitions from static laboratory calibration to dynamic environmental adaptation, allowing the audio system to maintain optimal performance across varying conditions through automated parameter adjustment based on current environmental measurements
Solution Approach 2:
The system changes physical parameters of the audio signal (gain, time lag, equalization) based on measured environmental parameters (temperature, altitude, humidity). By establishing relationships between environmental conditions and optimal audio parameters, the system automatically adjusts signal characteristics to compensate for environmental effects on sound propagation and speaker performance
2Reliability
If audio signals are adjusted dynamically based on environmental sensors, then sound quality is maintained across varying conditions, but device complexity increases
Solution Approach 1:
The patent divides the audio signal processing into separate frequency bands (e.g., low, mid, high frequencies) and applies independent environmental compensation to each band. This segmentation allows targeted adjustment of specific frequency ranges affected by environmental conditions without processing the entire audio spectrum uniformly, reducing computational complexity while maintaining effectiveness
Solution Approach 2:
The system introduces environmental sensors and a control algorithm as intermediaries between the audio source and speakers. These intermediaries measure environmental conditions and translate them into appropriate signal adjustments, acting as a bridge that automatically compensates for environmental effects without requiring complex manual calibration or user intervention
Data Source
AI summary
The disclosure relates to a method and system for adjusting audio signals by a digital signal processor (DSP). The method comprises receiving an audio signal, adjusting the audio signal and transferring the adjusted audio signal to be output by one or more speakers. The method further comprises receiving sensor data indicative of an air environment around the one or more speakers and adjusting the audio signal based on the sensor data. The method and system may be employed in a vehicle.