Classification of piano performers with deep learning models

Key Points

• This study demonstrates effective classification of piano performers using deep learning models based on performance features.
• The model attained an accuracy of 92%, allowing precise differentiation among performers.
• Assessment utilized neural networks combined with feature extraction techniques to analyze performance data.
• Promising results support exploration of automated tools for music performance evaluation.