Virtual-Space Sound Generation Control With Automatic Solver Selection
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Solution Overview
Problem
Content producers in virtual spaces face a high workload in setting sound characteristics for objects, and there is a lack of direct adjustment for timbre, leading to inconsistent sound signals.
Innovation Solution
A sound generation control method that automatically selects solvers and determines parameters based on environment data, allowing for adjustments to generate consistent sound signals while reducing producer workload.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If content producers manually set sound characteristics for each object in virtual space, then sound customization flexibility is improved, but workload and time consumption increase significantly
Solution Approach 1:
The system automatically selects appropriate solvers and determines sound parameters based on environment data without requiring manual configuration by content producers. The automatic solver selection unit and parameter determination unit enable the system to self-configure sound characteristics by analyzing spatial relationships, object properties, and environmental conditions, thereby eliminating manual setup while maintaining customization flexibility
Solution Approach 2:
The system pre-establishes multiple solver types (wave sound solver, geometric sound solver, hybrid solver) with different calculation methods and characteristics. These solvers are prepared in advance with predefined parameter sets, allowing the system to quickly select and apply the most appropriate solver for given environmental conditions without requiring real-time manual configuration
2Adaptability or versatility
If content producers adjust parameters to exaggerate or moderate sound characteristics, then creative freedom is improved, but physical consistency of sound signals deteriorates
Solution Approach 1:
The system provides feedback mechanisms that monitor parameter adjustments and automatically correct deviations from physical consistency. When content producers modify parameters for creative purposes, the feedback system evaluates the impact on physical accuracy and suggests or applies corrections to maintain realistic sound propagation characteristics while preserving the intended creative effect
Solution Approach 2:
The system manages parameter changes by establishing hierarchical relationships between parameters and their physical constraints. Critical parameters that affect physical consistency (such as speed of sound, attenuation coefficients, reflection angles) are protected from arbitrary modification, while less critical parameters allow greater creative freedom. The system dynamically adjusts parameter ranges and validation rules based on the selected solver type and environmental context
3Measurement precision
If wave sound simulation is used to accurately model low-frequency sounds with diffraction and interference, then sound accuracy is improved, but calculation load increases making real-time processing difficult
Solution Approach 1:
The system segments the virtual space into multiple regions with different calculation requirements. Wave sound simulation with full physical accuracy is applied only to critical regions where low-frequency diffraction and interference are prominent, while other regions use simplified geometric sound methods. This spatial segmentation allows real-time processing by concentrating computational resources where they are most needed
Solution Approach 2:
The system dynamically selects between different solver types and adjusts calculation precision based on real-time conditions such as frequency content, spatial relationships, and performance requirements. For high-frequency sounds where geometric methods are sufficient, the system uses computationally efficient algorithms, while automatically switching to more accurate wave-based methods when low-frequency phenomena require precise modeling
4Productivity
If geometric sound simulation is used for real-time processing with simple algorithms, then calculation speed is improved, but applicability is limited to high-frequency bands where wave motion cannot be considered
Solution Approach 1:
The system implements a universal sound simulation framework that can operate in multiple modes depending on the situation. The hybrid solver and adaptive selection mechanisms enable the system to function as a geometric sound simulator for high-frequency real-time processing, switch to wave sound simulation for accurate low-frequency modeling, or combine both approaches. This multi-functionality allows a single system to handle the full frequency spectrum and various acoustic scenarios
Data Source
AI summary
A sound generation control method according to an aspect of the present disclosure includes causing a computer to execute receiving an input of environment data indicating each condition set in a virtual space in which a sound source and a sound reception point are arranged; selecting a plurality of solvers for calculating characteristics of a sound at the sound reception point in accordance with the environment data, and determining a first parameter to be input to each of the plurality of solvers; receiving a change request for a first sound signal generated based one the first parameter; and adjusting the environment data or the first parameter in response to the change request, and generating a second sound signal using the adjusted environment data or a second parameter that is the adjusted parameter and is newly input to each of the solvers.