NeRF Acoustic Impulse Responses for Real-Time Game Audio
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Solution Overview
Problem
Existing computer game audio lacks realism in simulating sound propagation within virtual and real-world environments, failing to accurately reflect the acoustic properties of both spaces.
Innovation Solution
Utilizing a 3D neural radiance field (NeRF) to generate an impulse response (IR) of virtual spaces, which is then processed by a convolutional reverberation engine to blend virtual and real-world audio, adjusting for acoustic characteristics in real-time as the player moves.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional audio processing methods are used in computer games, then the processing complexity is low, but the audio realism and immersion are insufficient
Solution Approach 1:
The system pre-generates impulse responses using NeRF models for different virtual spaces before audio playback. These pre-computed acoustic characteristics are stored and readily available for real-time convolution operations, eliminating the need for complex real-time acoustic simulations while maintaining high audio realism
Solution Approach 2:
The patent introduces NeRF models as an intermediary between the game engine and audio output. The NeRF model translates visual scene data into acoustic impulse responses, serving as a bridge that converts geometric information into audio characteristics without requiring direct complex acoustic calculations
2Reliability
If NeRF is used to generate impulse response for virtual space, then the audio realism is improved, but the computational load increases
Solution Approach 1:
The NeRF model is trained and the impulse responses are pre-computed during asset creation or level design phases, before the game runtime. This shifts the computational burden to a pre-processing stage, allowing the actual game playback to use lightweight convolution operations with pre-generated impulse responses
Solution Approach 2:
The system dynamically selects and switches between different pre-computed impulse responses based on the player's current location and the virtual space being viewed. Rather than computing acoustic properties in real-time for every scene change, the system efficiently transitions between pre-prepared acoustic environments
3Adaptability or versatility
If the audio system adapts to player movement in real-time, then the immersion is enhanced, but the processing requirements increase
Solution Approach 1:
Impulse responses for multiple possible player positions and orientations are pre-computed and stored. When the player moves, the system selects from these pre-prepared options or blends between them, avoiding the need for complex real-time acoustic recalculations while maintaining the perception of continuous spatial audio
Solution Approach 2:
The system creates and stores multiple copies of impulse responses for different virtual spaces and positions. These copies are readily available for immediate use when the player transitions between locations, eliminating the need for expensive real-time acoustic simulations during gameplay
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enhances the realism of computer game audio by simulating sound propagation in both virtual and real-world environments, providing an immersive audio experience that adapts to the player's location.
Implementation Method 1
apply the IR using a convolutional reverberation engine, which is used to process computer simulation audio
Implementation Method 2
convolutional reverberation engine to process computer simulation audio such as computer game audio to render more realistic sound
Data Source
AI summary
Techniques including generating a neural volume representation of a first space. The techniques further include based at least in part on the neural volume representation, generating information representing acoustic transmission in the first space. The techniques further include playing, on at least one speaker, audio processed using the information representing acoustic transmission in the first space.