Audio Compression via Vector Field Normalization
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Solution Overview
Problem
Current multi-channel audio compression methods are bulky, processor-intensive, and require discrete speaker arrangements, limiting sound fidelity due to bandwidth constraints and the need for matching speaker outputs, which also depend on psychoacoustic models for perceptual coding.
Innovation Solution
A digital representation of analog sound is created by processing digital sound data streams and their corresponding orientation angles, using a polar vector digitization mechanism that encodes N channels of audio into a channel-independent format, allowing for efficient compression and decoding to M output devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If discrete speaker arrangements with separate channel storage are used, then surround sound effects are produced, but bandwidth requirements increase and processing complexity increases
Solution Approach 1:
The patent combines multiple audio channels into a unified spatial representation using vector field normalization. Instead of storing and transmitting separate channels (5.1, 7.1 configurations), the system merges them into a compact spatial audio format that encodes directional information and amplitude relationships, significantly reducing bandwidth while preserving surround sound effects.
Solution Approach 2:
The spatial audio format created by the patent is universally compatible with different speaker configurations. A single compressed representation can be decoded for various output arrangements (stereo, 5.1, 7.1, or even mobile devices with speakers), eliminating the need for separate channel storage for each configuration and reducing overall bandwidth requirements.
2Productivity
If intensive remixing and perceptual coding are used, then audio compression is achieved, but sound fidelity is limited
Solution Approach 1:
The patent replaces traditional perceptual coding mechanisms (which rely on psychoacoustic models and intensive remixing) with a mathematical transformation approach using vector field normalization. This substitution maintains higher sound fidelity by preserving the original spatial relationships and amplitude information without aggressive compression artifacts, while still achieving efficient compression through the compact spatial representation.
3Reliability
If separate channel storage is used, then surround sound effects are produced, but processing complexity increases
Solution Approach 1:
The patent merges multiple separate audio channels into a unified spatial representation that encodes all directional and amplitude information in a compact form. This merging eliminates the need for complex separate channel processing while maintaining surround sound quality, as the spatial audio format inherently contains all necessary information for reconstructing the surround effect with simpler processing.
4Reliability
If matching speaker outputs are required, then correct sound reproduction is achieved, but system adaptability is limited
Solution Approach 1:
The spatial audio format created by the patent is universally adaptable to different speaker configurations. The compact representation encodes spatial relationships in a way that can be decoded for various arrangements (stereo, 5.1, 7.1, or mobile devices), maintaining accurate sound reproduction across all configurations without requiring configuration-specific processing or limiting system versatility.
Data Source
AI summary
An approach is provided for creating a digital representation of an analog sound. The approach retrieves a number of digital sound data streams with each of the digital sound data streams corresponding to an orientation angle of the digital sound data streams with respect to one another. The digital representation of the analog sound is generated by processing the digital sound data streams and their corresponding orientation angles.