Probabilistic Sound Reproduction for Natural Object Group Audio
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional sound reproduction systems in games produce sounds with a fixed ratio of male to female voices, leading to a mechanical impression and an unnatural sound experience.
Innovation Solution
A computer-readable storage medium and information processing system that manages object groups in a virtual space, randomly selects sound reproduction based on the ratio of object types, and adjusts sound volume and speed to create a more natural and dynamic sound environment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If sounds are reproduced with a fixed ratio of male to female voices based on object counts, then the sound reproduction is systematic and controllable, but the sound expression becomes mechanical and unnatural
Solution Approach 1:
The patent applies dynamics by making the sound selection process variable rather than fixed. The system randomly selects sounds from available types while maintaining the correct count, introducing temporal variation to the reproduction process. This allows the sound expression to adapt dynamically over time, creating a more natural and less mechanical auditory experience while preserving the systematic relationship between object counts and sound quantities.
Solution Approach 2:
The patent changes the parameter of sound selection from a deterministic fixed ratio to a probabilistic random selection mechanism. By modifying how sounds are chosen (from fixed assignment to random selection with constraints), the system maintains reliability in sound count while improving naturalness in sound expression through parameter variation.
2Loss of information
If all objects in a group are represented by sounds simultaneously, then complete information is provided, but the processing complexity and computational load increase
Solution Approach 1:
The patent applies partial action by selecting and reproducing only a subset of available sound types rather than all possible sounds simultaneously. The system determines the necessary number of sounds based on object counts and randomly selects from available sound types, reproducing fewer sounds than the total number of objects. This reduces processing complexity while maintaining the information about object composition through the quantitative relationship between sounds and objects.
3Stability of the object's composition
If the same sound is repeatedly selected for the same object type, then consistency is maintained, but naturalness and variety in sound expression decrease
Solution Approach 1:
The patent introduces dynamics into the sound selection process by implementing random selection that varies over time. Instead of repeatedly selecting the same sound for an object type, the system randomly chooses from available sound types during each reproduction event. This creates variety and naturalness in sound expression while maintaining consistency in the overall composition through the maintained ratio relationship between sound counts and object counts.
Solution Approach 2:
The patent uses a composite approach by combining multiple sound types for the same object category. Rather than using a single fixed sound for each object type, the system prepares multiple sound variants and randomly selects among them, creating a composite sound representation that maintains object identity while adding variety and naturalness to the expression.
Data Source
AI summary
For an object group including at least one object, the number of sounds to be reproduced is determined in accordance with the total number of objects. In addition, a reproduction sound(s) whose number is equal to the number of sounds is selected through random selection such that, with a probability based on a ratio of the number of each type of the objects included in the object group, the reproduction sound associated with each type of the objects, and the selected reproduction sound(s) is reproduced.