Dynamic Audio Zone Rendering in Virtual Scenes
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Solution Overview
Problem
Existing multi-zone virtual scenes lack effective mechanisms to dynamically adjust audio zones based on content modifications, leading to suboptimal user experiences due to inconsistent audio rendering as users move within the scene.
Innovation Solution
An apparatus and method that determine the similarity between audio zones in a multi-zone virtual scene and adjust their rendering positions based on these similarities, moving more similar zones closer together and less similar zones further apart, using attributes like pitch, timbre, and instrumentation, and implementing these changes using multidimensional scaling to enhance the immersive experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If audio zones are fixed in position within the virtual scene, then the system structure is simple and stable, but the audio experience becomes inconsistent as users move within the scene
Solution Approach 1:
The patent implements dynamic audio zone rendering positions that automatically adjust based on content modifications. The system continuously monitors audio content changes and recalculates rendering positions to maintain optimal audio coherence, transforming the static audio zone configuration into a dynamic adaptive system that responds to content variations.
Solution Approach 2:
The system employs feedback mechanisms by determining similarity between audio zones and using this information to adjust rendering positions. The process continuously evaluates audio content similarity and feeds this information back into the rendering position determination, creating a closed-loop system that maintains audio consistency.
2Reliability
If audio zones are dynamically rearranged based on content similarity, then audio coherence is improved, but the computational complexity and processing time increase
Solution Approach 1:
The patent changes the parameter of audio zone rendering positions based on similarity calculations. By dynamically adjusting the position parameter in response to content modifications, the system maintains audio coherence without requiring complete system redesign, only localized parameter updates when content changes.
Solution Approach 2:
The system applies local quality by determining similarity specifically for modified audio zones and their neighbors, rather than recalculating all zone relationships. This localized approach focuses computational resources on affected areas, reducing overall complexity while maintaining coherence.
3Measurement precision
If multiple audio attributes are considered for similarity determination, then the accuracy of zone positioning is improved, but the processing requirements and time increase
Solution Approach 1:
The patent applies partial action by considering a selected set of audio attributes (pitch, timbre, instrumentation) rather than analyzing all possible audio parameters. This selective approach achieves sufficient similarity measurement accuracy while reducing computational burden compared to comprehensive attribute analysis.
Solution Approach 2:
The system performs preliminary action by pre-identifying modified audio zones and focusing similarity calculations only on those zones and their immediate neighbors. This preliminary identification step prevents unnecessary calculations for unchanged zones, reducing processing time while maintaining measurement precision where needed.
Data Source
AI summary
An apparatus, method and computer program is described, comprising: determining a similarity between a content of a first zone and a content of at least one or more other zones of a multi-zone virtual scene, in response to a modification of the content of said first zone, wherein content as perceived by a user within said scene is dependent on a virtual position of the user within said scene; and determining an updated rendering position of the first zone relative to said one or more other zones within the virtual scene, dependent on the determined similarities.


