Audio Semantic Metadata Embedding for Playback Adaptation
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Solution Overview
Problem
Existing methods for conveying audio semantics across diverse playback environments fail to authentically represent the intended semantic expressions, as they rely solely on static content injections and do not adapt to the specific characteristics of different devices and user contexts.
Innovation Solution
A system that embeds semantic metadata in audio content, allowing for dynamic adaptation and manipulation based on device capabilities and user context, using audio analysis, semantic encoding, and content manipulation algorithms to faithfully reproduce the intended semantics across various playback devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If static content injections are used to provide semantic expressions, then the implementation is simple, but the semantic expression cannot be conveyed authentically across diverse playback environments
Solution Approach 1:
The patent applies preliminary action by embedding semantic metadata and device capability information into the content before distribution. This allows the playback device to automatically retrieve and apply appropriate semantic expressions without requiring complex real-time analysis or user intervention, thus achieving adaptability while maintaining system simplicity.
Solution Approach 2:
The patent introduces semantic metadata as an intermediary layer between the content and the playback device. This metadata contains semantic expressions and device capability information that mediate the interaction, enabling authentic semantic conveyance across diverse environments without requiring the device itself to be complex.
2Reliability
If device-specific semantic expressions are implemented, then authentic semantic representation is achieved, but the system complexity increases
Solution Approach 1:
The system performs preliminary analysis of device capabilities and embeds appropriate semantic metadata with the content. This ensures that when the content is played back, the authentic semantic expression is automatically retrieved and applied without requiring complex real-time processing, thus maintaining reliability while controlling complexity.
Solution Approach 2:
The patent changes parameters by encoding semantic expressions and device capability information into structured metadata formats. This allows the system to represent complex device-specific adaptations through standardized parameter changes in the metadata, achieving reliable semantic expression without proportional increases in system complexity.
3Adaptability or versatility
If semantic metadata is embedded in content, then dynamic adaptation to device capabilities is enabled, but the content processing complexity increases
Solution Approach 1:
The patent applies preliminary action by analyzing device capabilities and embedding appropriate semantic metadata during content creation or preprocessing. This shifts the processing complexity to an offline stage, allowing dynamic adaptation at playback without requiring complex real-time processing, thus maintaining ease of manufacture while enabling adaptability.
Solution Approach 2:
The system creates copies of semantic metadata that can be attached to content. These metadata copies contain pre-analyzed device capability information and semantic expressions, allowing the playback device to simply retrieve and apply them without performing complex analysis, thus enabling dynamic adaptation while keeping processing simple.
Data Source
AI summary
Aspects of the subject disclosure may include, for example, a device that includes a processing system having a processor and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations, where the operations include determining parameters for adapting audio in the content to the device, wherein the device renders the content, and wherein the parameters are based on semantic metadata embedded in the content, adapting the audio in the content based on the parameters, and rendering the content, as adapted by the parameters, to represent a semantic in the semantic metadata. Other embodiments are disclosed.