Neural Network Performance Analysis for Musical Expression Inference

The patent introduces a neural network as an intermediary component that processes observed performance information and generates inferred performance information. This neural network acts as a mediator between the raw performance data and the performance tendency analysis, enabling accurate inference while encapsulating the complexity within a specialized module rather than distributing it throughout the entire system.

The patent replaces traditional mechanical or rule-based analysis systems with a neural network-based computational system. This substitution allows for more sophisticated pattern recognition and inference of performance tendencies that would be difficult to achieve with conventional methods, thereby improving measurement precision while managing complexity through computational efficiency.

The patent performs preliminary processing of performance information by generating inferred performance information in advance based on observed performance patterns. This preliminary action prepares the system for real-time operations by pre-computing performance tendencies, reducing the computational burden during actual synchronized operations while maintaining high response speed.

The system uses the observed performance information itself to generate the inferred performance information through the neural network, allowing the system to serve its own analytical needs. This self-service approach enables real-time processing by utilizing the input data to produce the necessary output without requiring external computational resources, thereby managing computational load efficiently.