Peng, Yixuan’s comprehensive study explores how deep learning refines music aesthetic education. The research outlines AI’s role in analyzing musical emotions and enhancing personalized teaching. With experiments using digital audio features, the study exemplifies how real-time feedback improves emotional engagement and transforms educational strategies in music.
Q&A
- What is the role of deep learning in music education?
- How are emotional states measured in the study?
- What do MFCC and PLP features represent?