Speaker Array Filter Merging for Low-Load Real-Time Audio
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Solution Overview
Problem
Conventional in-vehicle audio systems face computational challenges when processing multiple sound effect modules simultaneously, requiring high-order FIR filters that are computationally intensive and difficult for conventional DSP to handle effectively.
Innovation Solution
The method involves merging filters from multiple sound effect modules offline to form a FIR multiple filter network, and then intercepting the FIR sequence to create a new FIR filter combined with an IIR network, which reduces the computational load during real-time processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-order FIR filters are used to process multiple sound effect modules simultaneously, then sound field control precision and virtual acoustic scenario simulation quality are improved, but computational complexity and processing time increase significantly
Solution Approach 1:
The patent applies preliminary action by pre-calculating and storing filter coefficients for multiple sound effect modules before real-time processing. The system computes FIR filter coefficients offline and prepares IIR filter parameters in advance, so that during real-time audio processing, only simple coefficient application is needed rather than full filter computation, dramatically reducing online computational complexity while maintaining precision
Solution Approach 2:
The patent changes the parameter representation from high-order FIR filters to a hybrid approach using precomputed coefficients and lower-complexity IIR filters. By transforming the filter implementation parameters and using coefficient lookup tables combined with IIR recursion, the system achieves the same sound field control precision with significantly reduced real-time computational burden
2Measurement precision
If high-order FIR filters are used for virtual hall algorithm and convolution reverb, then acoustic space simulation quality is improved, but real-time processing capability deteriorates
Solution Approach 1:
The patent pre-computes the impulse responses and filter coefficients for virtual hall algorithms and convolution reverb effects before runtime. By performing the computationally intensive convolution operations offline and storing the results as preprocessed filter data, the system enables high-quality acoustic space simulation to be applied in real-time through simple filter application rather than full convolution computation
Solution Approach 2:
The patent creates simplified copies or representations of the complex high-order FIR filter behavior using precomputed coefficient sets and IIR filter models. These coefficient copies capture the essential acoustic characteristics of virtual halls and reverb spaces, allowing real-time processing to use lightweight coefficient application instead of computationally expensive full filter operations
3Ease of manufacture
If multiple sound effect modules are processed sequentially in conventional audio signal processing flow, then module independence and ease of implementation are maintained, but overall processing efficiency decreases
Solution Approach 1:
The patent merges multiple independent sound effect modules into a unified processing framework where precomputed filter coefficients from different modules (sound field control, virtual hall, convolution reverb, speaker compensation) are combined and applied together. This consolidation maintains the functional independence of each module for ease of implementation while achieving high processing efficiency through coordinated coefficient application in the unified system
Data Source
AI summary
The present disclosure provides a method for realizing a speaker array-oriented multiple filter system and a related device, belonging to the technical field of audio systems. The method includes: merging, before real-time audio processing, filters of a plurality of sound effect modules in an audio signal processing flow offline to form a finite impulse response (FIR) multiple filter network. The present disclosure places most of computation in an offline processing flow by merging the filters of the plurality of sound effect modules in offline convolution, so that the computation amount of real-time processing is greatly reduced.