Piano harmony automatic adaptation system based on deep reinforcement learning DOI
Hui Guo

Entertainment Computing, Journal Year: 2024, Volume and Issue: 52, P. 100706 - 100706

Published: May 10, 2024

Language: Английский

RoleNet: A multiple features fusion network for role classification in cantonese opera DOI
Yue Li,

Zhengwei Peng,

Di Xu

et al.

Multimedia Tools and Applications, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 28, 2025

Language: Английский

Citations

0

Music style transfer and creation method based on transfer learning algorithm DOI Creative Commons
Suyoung Chi, Hao Chen

Journal of Computational Methods in Sciences and Engineering, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 14, 2025

With the growth of people’s demand for personalized music, how to use AI technology achieve accurate understanding and creative transformation music styles has become an important topic. In this study, a transfer learning algorithm based on deep framework is designed automatically identify simulate different style characteristics in order break through traditional creation mode. By pre-training large-scale multi-style library then fine-tuning it specific target style, effective migration achieved. The experimental data show that method can significantly improve accuracy conversion make similarity generated works timbre, melody, rhythm, other dimensions reach more than 92% while maintaining good novelty diversity. verify audience acceptance works, study invited participants from age groups musical preferences conduct listening comparison experiment. results compared with direct non-transfer models or artificially created algorithms have achieved higher praise rates, especially two key indicators innovation emotional resonance, which improved, respectively. About 23% 16%.

Language: Английский

Citations

0

Enhancing opera vocal education through advanced machine learning algorithms: analytics for talent development and curriculum design DOI
Keyong Wang,

Pinqi Zhang

Interactive Learning Environments, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 21

Published: April 11, 2025

Language: Английский

Citations

0

Hybrid models of piano instruction: How combining traditional teaching methods with personalized AI feedback affects learners’ skill acquisition, self-efficacy, and academic locus of control DOI Creative Commons

Sizhuo Wang

Education and Information Technologies, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 17, 2025

Language: Английский

Citations

0

The Application of Big Data and Fuzzy Decision Support Systems in the Innovation of Personalized Music Teaching in Universities DOI Creative Commons
Shuangshuang Chen

International Journal of Computational Intelligence Systems, Journal Year: 2024, Volume and Issue: 17(1)

Published: Aug. 14, 2024

Personalized music teaching in universities improves students' learning and efficiency through adaptive guidance. This adaptability requires large study data intelligent decisions based on the learner's ability. article introduces a Definitive Teaching Support System (DTSS) exclusive to augment this concept. system is designed increase of student interest The powered by fuzzy decision for identifying maximum personalized processes. Low-to-high-sorted personalization provides new endorsements further sessions derivative process. Maximum target universities. differs various students from which common level monotonous recommendations identified. identified set as global solution towards personalization. defuzzification reduces chances low expelling stationary outcomes.

Language: Английский

Citations

1

Piano harmony automatic adaptation system based on deep reinforcement learning DOI
Hui Guo

Entertainment Computing, Journal Year: 2024, Volume and Issue: 52, P. 100706 - 100706

Published: May 10, 2024

Language: Английский

Citations

0