Music Teaching Feedback Based on Error Cause and Performance History
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Solution Overview
Problem
Existing teaching systems for musical instruments provide the same evaluation for the same performance error, failing to account for varying causes of errors, making practical teaching difficult.
Innovation Solution
A teaching device that acquires reference and performance data, detects errors, estimates their causes based on performance history, and determines personalized instruction content items based on error frequency and cause.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the same evaluation result is presented for the same performance error, then the teaching system is simple and easy to operate, but the teaching effectiveness deteriorates because it cannot account for varying causes of errors
Solution Approach 1:
The evaluation system dynamically adjusts the evaluation result based on the detected cause of the performance error. Instead of presenting the same static evaluation for identical errors, the system modifies the evaluation content according to the specific cause (e.g., rhythm issue vs. pitch issue), thereby resolving the contradiction between simplicity and effectiveness.
Solution Approach 2:
The system changes the parameter of evaluation result presentation based on the error cause. By introducing a variable dimension (cause-based differentiation) to the evaluation output, the system maintains operational simplicity while improving teaching effectiveness through personalized feedback.
2Reliability
If personalized instruction content is determined based on error cause and frequency, then teaching effectiveness is improved, but device complexity increases due to additional processing steps
Solution Approach 1:
The instruction determination process is segmented into distinct stages: error detection, cause estimation, and instruction content determination. This segmentation allows each stage to handle specific tasks independently, reducing the overall complexity by breaking down the personalized instruction generation into manageable modules.
Solution Approach 2:
The system incorporates feedback from performance history to estimate error causes and determine instruction content. By using feedback mechanisms, the system can leverage existing data patterns to simplify the decision-making process, reducing complexity while maintaining high teaching effectiveness through adaptive instruction selection.
Data Source
AI summary
A teaching device includes a controller including memory storing instructions and at least one processor that implements the instructions. The instructions include acquiring reference data indicating a time series of reference sounds. The instructions include acquiring performance data indicating a time series of sounds expressed by a user's performance. The instructions include detecting a performance error by comparing the reference data and the performance data. The instructions include estimating a cause of the error based on performance history. The instructions include determining an instruction content item based on frequency of the error and the cause.