Layered Audio Metadata System for 3D Interoperability
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Solution Overview
Problem
Existing audio metadata models have unclear data support ranges, limiting interoperability of 3D audio production and rendering, and difficulty in metadata extension complicates updates to rendering and content production systems.
Innovation Solution
A layered metadata system design that supports the ITU BS.2076 standard and customizable extensions, ensuring forward compatibility and backward extension, with separate modules for static and dynamic metadata, and integration with cloud storage to reduce local file size and network bandwidth requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a unified audio metadata model is used to support 3D audio, then interoperability is improved, but the system becomes difficult to extend and update
Solution Approach 1:
The patent divides the audio metadata system into two independent modules: an ADM module for standardized audio metadata and a custom module for extension-specific metadata. This segmentation allows each module to function independently, improving interoperability through the standardized ADM module while enabling easy extension through the custom module without affecting the core system structure.
Solution Approach 2:
The patent extracts the extension functionality from the core ADM metadata model by creating a separate custom module. This extraction allows the standardized ADM module to maintain its interoperability benefits while the custom module handles all extension and update requirements, preventing complexity from propagating throughout the entire system.
2Quantity of substance
If cloud storage is integrated to reduce local file size, then network bandwidth requirements are reduced, but system complexity increases
Solution Approach 1:
The patent introduces a cloud storage intermediary that mediates between the local audio processing system and the metadata storage requirements. The cloud storage serves as an external repository that reduces local file size while providing on-demand access to metadata, thereby reducing network bandwidth requirements for metadata transmission while maintaining system functionality.
Data Source
AI summary
The present disclosure relates to the technical field of data processing, and relates to an audio signal processing method and apparatus. The processing method includes: acquiring first audio metadata of an audio signal in an ADM, the first audio metadata corresponding to a first metadata part; acquiring second audio metadata of an audio signal that does not exist in the ADM, the second audio metadata corresponding to a second metadata part; and performing audio rendering on the audio signal according to the first metadata part and the second metadata part.