Matrix Decomposition Audio Filters Spatial Rendering
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Solution Overview
Problem
Existing audio signal processing technologies for spatial rendering in devices like notebooks, desktop computers, and mobile phones face challenges in implementing high-quality spatial rendering due to computational complexity and resource limitations, particularly in battery-operated devices, which restrict the number of filters that can be used for crosstalk cancellation and spatial synthesis.
Innovation Solution
The implementation of matrix decomposition of audio signal processing filters, which reduces the number of filters required by combining ipsilateral and contralateral filters, thereby reducing computational complexity and enabling efficient real-time rendering of audio signals, using a combined spatial synthesizer and crosstalk canceller with first and second combined filters determined from sum and difference operations of ipsilateral and contralateral filters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If multiple filters are used for crosstalk cancellation and spatial synthesis, then audio quality is improved, but computational complexity increases
Solution Approach 1:
The patent combines multiple separate filters (ipsilateral and contralateral filters for spatial synthesis and crosstalk cancellation) into a single integrated filter. This merging reduces the total number of filters from 4+2N to 1, thereby reducing computational complexity while maintaining audio quality through the unified filter design that incorporates both spatial synthesis and crosstalk cancellation functions
2Manufacturing precision
If multiple filters are used for spatial rendering, then spatial rendering quality is improved, but resource consumption increases
Solution Approach 1:
The patent merges spatial synthesis filters and crosstalk cancellation filters into a single combined filter, reducing the computational load and resource consumption. The unified filter processes audio signals for both spatial rendering and crosstalk cancellation simultaneously, thereby reducing energy consumption in battery-operated devices while maintaining high spatial rendering quality
3Manufacturing precision
If many filters are applied in real-time, then audio processing quality is improved, but processing speed decreases
Solution Approach 1:
The patent combines multiple filter operations into a single real-time filter processing step. By integrating spatial synthesis and crosstalk cancellation into one filter, the system achieves high-quality audio processing without the computational overhead of multiple separate filters, thereby maintaining real-time processing speed
Data Source
AI summary
In some examples, matrix decomposition of audio signal processing filters for spatial rendering may include determining first and second spatial synthesis filters respectively as a sum and a difference of ipsilateral and contralateral spatial synthesis filters, and determining first and second crosstalk cancellation filters respectively as a sum and a difference of ipsilateral and contralateral crosstalk cancellation filters. A combined spatial synthesizer and crosstalk canceller that includes a first combined filter and a second combined filter may be determined based on application of matrix decomposition to the first and second spatial synthesis filters and the first and second crosstalk cancellation filters. Further, spatial synthesis and crosstalk cancellation on first and second input audio signals may be performed based on application of the combined spatial synthesizer and crosstalk canceller.