Universal Spatial Audio Coding via Direction Vectors
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Solution Overview
Problem
Existing spatial audio coding methods are channel-centric and format-centric, making them inefficient for representing high-fidelity multichannel audio, as they rely on specific inter-channel relationships and output channel configurations, limiting their adaptability and robustness.
Innovation Solution
A frequency-domain spatial audio coding framework that uses time-frequency spatial direction vectors to describe the audio scene independently of the input and output channel configurations, allowing for universal spatial cues that can be used for accurate rendering on arbitrary systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If channel-centric spatial audio coding methods are used, then spatial relationships can be encoded for specific channel configurations, but adaptability to different output systems is limited
Solution Approach 1:
The patent applies universality by extracting spatial cues that are independent of any specific channel configuration. The spatial representation uses universal coordinates (azimuth, elevation, distance) that can be rendered on any output system regardless of channel layout, making the encoding method adaptable to diverse playback configurations without requiring configuration-specific processing.
Solution Approach 2:
The patent transitions from channel-centric spatial representation to a dimension-based representation using azimuth, elevation, and distance coordinates. This dimensional transformation allows spatial information to be expressed in a universal framework that can be mapped to any channel configuration, resolving the contradiction between adaptability and complexity.
2Measurement precision
If format-centric encoding is used, then spatial information can be preserved for the original channel format, but rendering on arbitrary systems becomes inaccurate
Solution Approach 1:
The patent creates a universal spatial representation that maintains rendering accuracy across different output systems. By encoding spatial cues in terms of azimuth, elevation, and distance rather than channel-specific relationships, the system achieves both accurate spatial rendering and broad compatibility with arbitrary output configurations.
Solution Approach 2:
The patent introduces universal spatial coordinates (azimuth, elevation, distance) as an intermediary representation between the audio signal and the output channel configuration. This intermediary framework enables accurate spatial rendering by serving as a configuration-independent bridge that can be mapped to any channel layout while preserving spatial accuracy.
3Loss of information
If inter-channel relationships are encoded, then spatial information can be captured, but bit-rate overhead increases
Solution Approach 1:
The patent extracts essential spatial information (azimuth, elevation, distance) from the audio signal and encodes only these key parameters rather than full inter-channel relationships. This extraction approach preserves the most critical spatial cues while significantly reducing the amount of data that needs to be encoded and transmitted, thereby lowering bit-rate overhead.
Solution Approach 2:
The patent creates a compact copy of spatial information in the form of directional vectors and spatial cues that represent the essential spatial characteristics without requiring the full complexity of inter-channel relationship data. This copied representation maintains spatial fidelity while reducing data requirements.
Data Source
AI summary
The present invention provides a frequency-domain spatial audio coding framework based on the perceived spatial audio scene rather than on the channel content. In one embodiment, time-frequency spatial direction vectors are used as cues to describe the input audio scene.