Karaoke Singing Voice Evaluation Using Feature Distribution Data
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Solution Overview
Problem
Existing karaoke devices cannot evaluate singing voices without a reference singing sound included in the musical piece data, limiting their functionality.
Innovation Solution
A musical sound evaluation device and method that acquire and analyze inputted musical sounds, calculate feature quantities, and generate feature quantity distribution data to evaluate singing voices based on statistical processing of past singing voices, enabling evaluation even without a reference singing sound.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a reference singing sound is included in the musical piece data for evaluation, then the evaluation accuracy is improved, but the adaptability to different musical pieces is worsened
Solution Approach 1:
The system performs preliminary statistical processing on feature quantities from multiple past singing voices to generate feature quantity distribution data before actual evaluation. This pre-computed distribution data serves as the evaluation criterion, allowing accurate evaluation without requiring a reference singing sound to be included in the musical piece data itself.
Solution Approach 2:
Instead of using a specific reference singing sound, the system creates a statistical copy of multiple past singing voices by computing distribution data (mean, standard deviation) of feature quantities. This statistical replica serves as the evaluation criterion, enabling universal application across different musical pieces while maintaining evaluation accuracy.
2Reliability
If feature quantity distribution data is generated from multiple past singing voices, then the evaluation reliability is improved, but the data processing complexity is worsened
Solution Approach 1:
The system segments the evaluation process into two distinct phases: a data collection phase where feature quantities are extracted from past singing voices, and a evaluation phase where pre-computed distribution data is used. This segmentation allows reliable evaluation while reducing real-time processing complexity, as the statistical processing is performed in advance rather than during actual evaluation.
Data Source
AI summary
A musical sound evaluation device includes a musical sound acquisition unit which acquires an inputted musical sound, a feature quantity calculation unit which calculates a feature quantity from the musical sound, a feature quantity distribution data acquisition unit which acquires feature quantity distribution data representing a distribution of respective feature quantities for a plurality of musical sounds previously acquired, an evaluation value calculation unit which calculates an evaluation value for the inputted musical sound based on the feature quantity calculated by the feature quantity calculation unit and the feature quantity distribution data acquired by the feature quantity distribution data acquisition unit, and an evaluation unit which evaluates the musical sound based on the evaluation value.