Spatial Audio Positioning for Communication Grouping
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Solution Overview
Problem
Conventional systems for spatializing communication audio in immersive telecommunication systems often result in suboptimal user experience due to arbitrary spatial positioning of speaker voices, especially when background noise and ambient signals are present, leading to a confusing and complex spatial audio scene.
Innovation Solution
The method involves determining acoustic features from communication audio signals, such as reverberance, noisiness, and background context, to dynamically reposition audio signals based on their background characteristics, grouping similar signals together and positioning dissimilar signals further apart, and applying additional acoustic effects like artificial reverberation to create a less confusing audio scene.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If arbitrary spatial positioning of speaker voices is used in conventional systems, then device complexity is reduced, but the spatial audio scene becomes confusing and complex for users
Solution Approach 1:
The system dynamically changes spatial positioning parameters based on acoustic feature analysis. By analyzing acoustic parameters such as reverberation, noise, and background context, the system automatically adjusts the spatial positions of audio sources to group similar environments together, transforming the static arbitrary positioning into adaptive parameter-based positioning that reduces user confusion
Solution Approach 2:
The system performs self-service by automatically analyzing acoustic features and determining optimal spatial positions without requiring manual user input. The apparatus autonomously groups communication audio signals based on their background characteristics and positions them accordingly, eliminating the need for complex user configuration while improving spatial audio scene organization
2Speed
If communication audio signals with different background characteristics are positioned arbitrarily, then positioning speed is increased, but audio scene confusion increases
Solution Approach 1:
The system performs preliminary action by analyzing acoustic features of communication audio signals before final spatial positioning. By pre-processing the audio signals to extract background characteristics such as reverberation and noise levels, the system prepares the necessary information in advance to make informed positioning decisions, ensuring both speed and clarity in the final spatial arrangement
Solution Approach 2:
The system segments communication audio signals based on their acoustic characteristics, separating signals with similar background features into distinct groups. This segmentation approach allows the system to process and position signals more efficiently by handling homogeneous groups together, while maintaining audio scene clarity through logical grouping of similar environments
Data Source
AI summary
A method for generating spatial reproduction of communication audio, the method comprising: obtaining at least one communication audio signal from at least one communication channel; obtaining at least one acoustic parameter based on the at least one communication audio signal; obtaining a spatial audio position at least in part based on the at least one acoustic feature parameter; and generating the spatial reproduction of communication audio using the spatial audio position while the at least one communication channel is in use.