Context-Aware Audio Rendering for Hearing-Impaired VR/AR Users
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Solution Overview
Problem
Existing audio rendering technologies fail to provide personalized and environment-specific audio adaptation for users with hearing impairments, leading to increased latency and limited accessibility in virtual reality and augmented reality environments.
Innovation Solution
A renderer apparatus and method that processes audio scene representations using context-specific rules and parameters to generate personalized audio signals, compensating for hearing impairments by modifying metadata and applying spatial audio processing, gain weights, and reducing reverberation levels based on contextual data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If audio rendering is performed independently of user profile and environment, then device complexity is reduced, but adaptability to hearing-impaired users deteriorates
Solution Approach 1:
The system performs preliminary actions by pre-processing the audio scene representation to extract semantic information and pre-defining multiple rendering configurations tailored to different user profiles (including hearing impairment types and degrees). These pre-prepared configurations are stored and ready for rapid selection during actual rendering, avoiding complex real-time calculations while maintaining high adaptability.
Solution Approach 2:
The patent introduces an intermediary layer between the audio scene representation and the final rendered output. This intermediary includes a semantic analysis module that interprets the audio scene content and a configuration selection module that matches the scene characteristics with appropriate rendering profiles. This intermediary structure enables adaptive rendering without requiring complex real-time processing, thus resolving the contradiction between simplicity and adaptability.
2Reliability
If post-filtering is applied to adapt audio for impaired listeners, then hearing impairment compensation is improved, but latency increases
Solution Approach 1:
Instead of applying post-filtering after rendering, the system performs the adaptation actions preliminarily by incorporating hearing impairment compensation directly into the rendering process itself. The rendering unit applies frequency-dependent gain adjustments, dynamic range compression, and other compensations during the initial rendering phase, eliminating the need for separate post-processing steps and thereby reducing latency while maintaining reliable compensation.
Solution Approach 2:
The patent merges the hearing impairment compensation functions with the audio rendering process. The rendering unit simultaneously performs spatial audio processing, gain application, reverberation control, and hearing impairment compensation in a unified operation. This consolidation eliminates multiple sequential processing stages, reducing overall latency while ensuring reliable compensation is applied.
3Reliability
If frequency-dependent amplification and dynamic range compression are applied, then speech intelligibility is improved, but device complexity increases
Solution Approach 1:
The system manages complexity by parameterizing the frequency-dependent amplification and dynamic range compression functions. Instead of implementing complex adaptive algorithms, the patent uses pre-defined parameter sets corresponding to different hearing impairment profiles. The rendering unit simply applies these parameterized functions based on the selected profile, achieving improved speech intelligibility while keeping the processing complexity manageable through parameter-based control rather than algorithmic complexity.
Data Source
AI summary
There is disclosed renderer apparatus, comprising: a rendering unit configured to process an audio scene representation to be rendered and to receive at least one context-specific rule or parameter, the rendering unit being configured to generate a rendered audio signal from the audio scene representation conditioned by the at least one context-specific rule or parameter, a contextualization unit configured to receive and/or derive context-specific data, the contextualization unit being configured to provide the at least one context-specific rule or parameter to the rendering unit based on the context-specific data.


