Virtual Audio Source Positioning for Efficient Early Reflections
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Solution Overview
Problem
Existing models for determining virtual audio source positions for reflections in a room are computationally complex and resource-demanding, limiting the accuracy and quality of the audio experience in virtual reality applications.
Innovation Solution
A computer-implemented method and apparatus that efficiently determine virtual audio source positions by using a mapping matrix to map relative position offsets between the original room and mirror rooms, reducing the need for iterative mirroring operations and lowering computational burden.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing models for determining virtual audio source positions are used, then audio reflection representation is achieved, but computational complexity and resource demand increase
Solution Approach 1:
The patent segments the computational task into two phases: an initialization phase that pre-calculates mirror room positions and mapping matrices, and a runtime phase that uses these pre-computed structures to efficiently determine virtual audio source positions. This segmentation reduces real-time computational complexity while maintaining accuracy.
Solution Approach 2:
The patent performs preliminary calculations during initialization to generate mapping matrices and mirror room configurations before runtime operation. These pre-computed structures enable efficient determination of virtual audio source positions during dynamic VR/AR operations, reducing real-time computational burden while preserving measurement precision.
2Manufacturing precision
If iterative mirroring operations are used to determine virtual audio source positions, then accurate reflection representation is achieved, but computational resources are excessively consumed
Solution Approach 1:
The patent creates simplified copies of the audio source position in pre-computed mirror rooms using mapping matrices. Instead of performing iterative mirroring operations at runtime, the system uses these pre-generated positional copies to represent reflections accurately, significantly reducing computational resource consumption during dynamic operations.
Solution Approach 2:
The patent performs the computationally intensive mirroring operations during initialization to create mapping matrices and mirror room structures. These pre-computed results are then reused during runtime, eliminating the need for repeated iterative calculations and reducing real-time computational resource consumption while maintaining reflection accuracy.
3Reliability
If high accuracy virtual audio source positioning is implemented, then audio realism is improved, but system performance decreases due to computational burden
Solution Approach 1:
The patent segments the computational workload into initialization (high computational burden) and runtime (low computational burden) phases. This segmentation allows the system to achieve high audio realism through accurate virtual source positioning while maintaining system performance during dynamic VR/AR operations by using pre-computed mapping structures.
Solution Approach 2:
The patent performs comprehensive calculations during initialization to establish mapping matrices and mirror room configurations. This preliminary action enables the system to deliver realistic audio experiences during runtime without the computational burden, as the heavy lifting is already completed and stored for efficient reuse.
Data Source
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AI summary
An acoustic image source model for early reflections in a room is generated by iteratively mirroring (305) rooms around boundaries (e.g. walls) of rooms of the previous iteration. Determination of mirror positions in the image rooms for an audio source in the original room is performed by determining (605, 607) matching reference positions in the two rooms and a relative mapping of directions between the two rooms (611). A mirror position in the mirror room from an audio source in the original room is determined (701, 703, 705) by mapping relative offsets between the positions of the audio source and the reference positions. The approach may provide a computationally very efficient approach.