AR Virtual Audio Rendering With Precomputed Scene Acoustics
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Solution Overview
Problem
Augmented reality devices face computational challenges in modeling virtual sound sources due to insufficient computing resources, particularly in rendering realistic acoustic effects like diffraction and reverberation, which are resource-intensive processes.
Innovation Solution
A method involving precomputed acoustic parameters for multiple scenes, utilizing cloud storage and mobile devices to simulate and render virtual sound sources, leveraging Project Acoustics for wave-based acoustics and spatial anchors for alignment, enabling realistic audio rendering on untethered mixed reality devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If binaural audio recording technique is used to create immersive 3D audio experience, then spatial audio quality is improved, but compatibility with monaural devices deteriorates
Solution Approach 1:
The system dynamically adjusts audio parameters including channel configuration (mono/stereo/binaural), equalization curves, and spatial rendering parameters based on detected device capabilities. This allows the same audio content to be optimized for different playback scenarios, resolving the contradiction between high-quality binaural output and broad device compatibility.
Solution Approach 2:
The audio system transitions from static audio rendering to dynamic adaptation where the audio output continuously adjusts based on real-time detection of device characteristics. The system can switch between different audio rendering modes and apply different processing chains depending on whether the device supports binaural, stereo, or monaural playback.
2Measurement precision
If audio content is optimized for specific device characteristics, then audio quality is improved, but processing complexity increases
Solution Approach 1:
The system performs preliminary detection of device characteristics (speaker configuration, headphone support, audio capabilities) before audio playback begins. This advance knowledge allows the system to pre-select the appropriate audio rendering path and processing chain, avoiding the need for complex real-time adjustments during playback.
Solution Approach 2:
The system introduces an intermediary audio processing layer that sits between the audio source and the playback device. This intermediary layer handles device detection, parameter adjustment, and format conversion, shielding the audio source from device-specific complexities while enabling optimized output for each device type.
3Measurement precision
If equalization is applied to compensate for device acoustic characteristics, then audio accuracy is improved, but risk of overcompensation increases
Solution Approach 1:
The system applies equalization curves that are designed to be beneficial across a range of device characteristics rather than perfectly matched to each specific device. By using slightly conservative equalization that addresses common acoustic issues without attempting perfect correction, the system improves audio accuracy for most devices while avoiding the pitfalls of overcompensation.
Data Source
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AI summary
A mobile device implemented method provides audio from a virtual audio source in an augmented reality view of a scene. The method includes operations of sending scene identification data to a server storing precomputed acoustic parameters for multiple scenes, receiving precomputed acoustic parameters corresponding to the scene, aligning the view to register the audio to the augmented reality view of the scene, and rendering and playing the audio using the obtained acoustic parameters.