Controller Synchronization via Tracking Coefficient
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Solution Overview
Problem
Existing ensemble systems face challenges in adjusting the degree of synchronization between human players and automated musical instruments, with current methods requiring significant processing loads and inflexible synchronization adjustments.
Innovation Solution
A controller system that uses a coupling coefficient to adjust the synchronization between human and automated musical instrument performances by updating state vectors based on tracking coefficients, allowing for flexible synchronization adjustments without the need for extensive learning or parameter tuning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If existing ensemble systems use traditional synchronization methods to align human and automated musical instrument performances, then synchronization is achieved, but processing load increases and flexibility in adjustment is reduced
Solution Approach 1:
The patent applies parameter changes by introducing a tracking coefficient that dynamically adjusts the synchronization between human and automated instrument performances. This single parameter enables flexible control over the degree of synchronization without requiring complex processing or multiple parameters, directly resolving the contradiction between adaptability and device complexity
Solution Approach 2:
The patent implements local quality by allowing different tracking coefficients to be applied to different musical events or time segments. This enables selective synchronization adjustment for specific portions of the performance while maintaining simplicity in other areas, achieving flexible adaptation without uniformly increasing processing load across the entire system
2Device complexity
If existing ensemble systems implement rigid synchronization control, then processing is simplified, but the naturalness of automated music playback decreases
Solution Approach 1:
The patent applies dynamics by making the synchronization control adaptive rather than static. The tracking coefficient can vary over time and across different musical events, allowing the system to naturally follow human performance nuances while maintaining simple underlying control logic. This dynamic approach preserves performance naturalness without complicating the control structure
3Measurement precision
If existing systems require extensive learning and parameter tuning for synchronization, then precise control is achieved, but ease of operation is reduced
Solution Approach 1:
The patent implements self-service by designing a system where the tracking coefficient automatically adapts to the performance context without requiring manual tuning or extensive learning. The system self-regulates synchronization based on the detected human performance characteristics, achieving precise control while eliminating complex parameter adjustment procedures for the user
Data Source
AI summary
A control method includes: detecting a first sound signal from a musical instrument through a sensor arranged by the musical instrument; receiving a result of detection related to a first event in music performance; determining a tracking coefficient that indicates how closely a second event follows the first event in the music performance; determining an operation mode of the second event based on the tracking coefficient; and outputting the music from the automated musical instrument based on the operation mode.