Audio Rendering System Using Acoustic Parameter Estimation
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Solution Overview
Problem
Current audio rendering technologies face challenges in efficiently simulating complex acoustic environments, particularly in real-time, due to high computational demands and limitations in adapting to dynamic changes in scene shapes and materials, leading to compromised rendering quality and interactivity.
Innovation Solution
The proposed audio rendering system estimates acoustic information of an approximately rectangular parallelepiped room scene by collecting scene point clouds, determining a minimum bounding box, and calculating acoustic properties, allowing for dynamic estimation of room size, center coordinates, and material properties, which are used to set parameters for rendering spatial audio signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If complex acoustic environments are simulated using traditional audio rendering technologies, then rendering quality is improved, but computational demand increases significantly
Solution Approach 1:
The patent transforms the complex acoustic simulation problem into a parameter estimation problem. Instead of simulating full wave propagation, the system estimates key parameters (room dimensions, material properties, acoustic characteristics) from scene geometry and uses these parameters to configure simplified acoustic models, dramatically reducing computational requirements while maintaining rendering quality
Solution Approach 2:
The patent extracts essential acoustic information from complex scene data by collecting point clouds and determining minimum bounding boxes to represent room geometry. This extraction process identifies only the critical parameters needed for acoustic rendering, discarding unnecessary geometric details and reducing the problem complexity
2Measurement precision
If traditional audio rendering methods are used to adapt to dynamic changes in scene shapes and materials, then rendering accuracy is improved, but interactivity is compromised
Solution Approach 1:
The patent implements a dynamic parameter estimation approach that continuously updates acoustic parameters as the scene changes. The system monitors scene point clouds and automatically recalculates room parameters in real-time, enabling the acoustic rendering to adapt to dynamic changes without requiring full re-rendering, thus maintaining both accuracy and interactivity
Solution Approach 2:
The patent performs preliminary estimation of acoustic parameters from scene geometry before actual audio rendering. By pre-calculating room characteristics and acoustic properties from the 3D scene data, the system prepares rendering parameters in advance, enabling fast real-time rendering when the scene changes
3Measurement precision
If pre-rendering is used to improve acoustic environment simulation quality, then rendering quality is improved, but computational efficiency is reduced
Solution Approach 1:
The patent changes the approach from pre-rendering full acoustic simulations to estimating acoustic parameters from scene geometry. The system calculates room dimensions, material properties, and acoustic characteristics as parameters from the 3D scene representation, then uses these parameters to configure acoustic models on-demand, achieving both quality and efficiency
Data Source
AI summary
The present disclosure relates to an audio rendering method, comprising obtaining audio metadata, the audio metadata including acoustic environment information; setting parameters for audio rendering according to the acoustic environment information, the parameters for audio rendering including acoustic information of an approximately rectangular parallelepiped room scene; and rendering an audio signal according to the parameters for audio rendering.