Musical Performance Evaluation Device Skill Type Segmentation
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Solution Overview
Problem
Existing musical performance evaluation systems cannot effectively assess the improvement in a user's musical performance ability when practicing specific parts of a musical piece, as they only calculate accuracy rates based on correctly played notes without considering skill types or difficulty levels.
Innovation Solution
A musical performance evaluation device and method that categorize notes by skill type and evaluate improvement by comparing input performance data with model data, using accuracy rates and skill values to generate a musical performance evaluation value for each skill type, allowing for detailed assessment of user progress.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If only the number of correctly played notes is calculated to evaluate musical performance, then the evaluation process is simple, but the evaluation precision is insufficient to assess improvement in specific skill areas
Solution Approach 1:
The patent segments the musical performance evaluation into multiple skill types (e.g., rhythm accuracy, pitch accuracy, dynamics) rather than providing a single overall accuracy rate. This allows precise measurement of improvement in specific skill areas while maintaining a manageable evaluation structure through categorical division.
Solution Approach 2:
The patent applies local quality by evaluating different aspects of performance (rhythm, pitch, dynamics) with different criteria and weightings appropriate to each skill type. This enables tailored assessment of improvement in specific areas without requiring complete reevaluation of all performance aspects.
2Measurement precision
If the entire musical piece is evaluated to assess overall performance ability, then the evaluation is comprehensive, but it cannot effectively measure improvement when practicing only specific parts
Solution Approach 1:
The patent divides the musical piece into multiple segments or phrases and allows evaluation of individual segments rather than requiring evaluation of the entire piece. This enables focused practice assessment while maintaining the option for comprehensive evaluation when needed.
Solution Approach 2:
The patent implements dynamic evaluation capabilities where the evaluation scope can be adjusted based on practice needs. Users can select to evaluate specific segments, phrases, or the entire piece, making the system adaptable to different practice scenarios and improvement tracking requirements.
3Loss of information
If a single accuracy rate is calculated for all notes, then the calculation process is simple, but it cannot identify specific skill areas needing improvement
Solution Approach 1:
The patent segments note data by skill types (rhythm, pitch, dynamics) and calculates accuracy rates separately for each category. This preserves skill type information while organizing data processing into manageable categories that reduce overall complexity through structured classification.
Solution Approach 2:
The patent applies different evaluation criteria and calculates accuracy rates locally for each skill type rather than using a uniform approach for all notes. This preserves detailed skill information while enabling targeted feedback on specific areas needing improvement.
Data Source
AI summary
In the present invention, a CPU obtains the number of notes for each skill type from note data included in a phrase segment for which musical performance input has been performed, compares the note data included in the phase segment for which the musical performance input has been performed and musical performance data inputted by the musical performance so as to obtain the number of correctly played notes for each skill type, and accumulates evaluation values for the respective skill types each found by multiplying an accuracy rate for each skill type obtained from the obtained number of notes and the obtained number correctly played notes for each skill type by a skill value of each type so as to obtain an overall musical performance evaluation value.