Weighted Audio Stream Spatial Rendering for Virtual Environments
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Solution Overview
Problem
Current visually immersive virtual environments lack realistic communication mechanisms, relying on non-immersive methods such as text-based chat or walkie-talkie style voice, despite advancements in image processing and three-dimensional sound cards.
Innovation Solution
An apparatus and method for creating an audio scene in virtual environments by generating weighted audio streams that simulate sound attenuation based on distance, allowing for spatial audio reproduction and efficient processing through the use of audio processors and communication networks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If weighted audio streams with distance-based attenuation are generated for all objects in the virtual environment, then the fidelity and realism of the audio scene is improved, but the processing requirements and computational complexity increase
Solution Approach 1:
The hearing range is divided into multiple portions (e.g., foreground, midground, background zones), and objects are segmented into these portions based on their distance from the avatar. Each portion receives different processing levels - objects in closer portions receive full weighted audio processing with distance-based attenuation, while objects in farther portions receive simplified or unprocessed audio streams. This segmentation allows the system to maintain high audio fidelity for nearby objects while reducing processing requirements for distant objects.
Solution Approach 2:
Different quality levels of audio processing are applied to different spatial regions. Objects in the foreground (closer to the avatar) receive high-fidelity weighted audio streams with precise distance attenuation, while objects in the background receive lower-fidelity unweighted or minimally processed audio. This local quality approach ensures that audio resources are concentrated where they provide the most perceptual benefit, maintaining realism without uniformly increasing processing complexity across all objects.
2Measurement precision
If multiple weighted audio streams are generated for different portions of the hearing range, then the spatial accuracy and immersion of the audio scene is improved, but the data transmission bandwidth and communication overhead increase
Solution Approach 1:
Multiple weighted audio streams for different portions of the hearing range are merged into a single integrated audio scene representation. Instead of transmitting separate audio streams for each object portion independently, the system combines the audio data and transmits a unified audio scene that includes spatial positioning information and attenuation characteristics for all objects. This merging reduces redundant data transmission while maintaining the spatial accuracy benefits of multiple portions.
Solution Approach 2:
The audio scene data structure is designed to serve multiple functions simultaneously - it provides spatial positioning information, distance-based attenuation characteristics, and audio content all in a single data transmission. The datum representing object location serves both as positional information for spatial rendering and as a basis for calculating appropriate attenuation levels, eliminating the need for separate transmission of positioning and audio quality parameters.
3Productivity
If unweighted audio streams are included alongside weighted audio streams, then the processing efficiency is improved through reuse, but the audio scene complexity and mixing requirements increase
Solution Approach 1:
Instead of applying full weighted audio processing to all objects, the system uses partial processing by identifying objects that contribute minimally to the overall audio scene (such as distant or non-critical objects) and providing them with unweighted or minimally processed audio streams. This partial action approach maintains processing efficiency for critical audio elements while using simplified processing for less important elements, achieving a balance between fidelity and efficiency.
Solution Approach 2:
The system dynamically changes the processing parameters (attenuation weights) based on object characteristics, distance, and importance. For objects where high-fidelity processing provides minimal perceptual benefit, the attenuation parameter is set to unity (no attenuation), effectively converting the weighted audio stream into an unweighted stream. This parameter change allows the same processing framework to handle both high-fidelity and efficiency-oriented cases without requiring completely separate processing pipelines.
Data Source
AI summary
An apparatus for creating an audio scene for an avatar in a virtual environment, the apparatus comprising: an audio processor operable to create a weighted audio stream that comprises audio from an object located in a portion of a hearing range of the avatar; and associating means operable to associate the weighted audio stream with a datum that represents a location of the portion of the hearing range in the virtual environment, wherein the weighted audio stream and the datum represent the audio scene. The weighted Audio stream also includes an unweighted audio stream that comprises audio from another object located in the hearing range of the avatar.