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MemoMusic 3.0: Considering Context at Music Recommendation and Combining Music Theory at Music Generation

  • Published:2023-07 Issue: Volume: Page:
  • ISSN:
  • Container-title:2023 IEEE International Conference on Multimedia and Expo Workshops (ICMEW)
  • language:
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Author:

Mou Luntian1,Sun Yihan1,Tian Yunhan1,Sun Yiqi2,Liu Yuhang1,Zhang Zexi1,He Ruichen1,Li Juehui3,Li Jueying4,Li Zijin5,Gao Feng6,Shi Yemin7,Jain Ramesh8

Affiliation:

1. Beijing Institute of Artificial Intelligence, Beijing University of Technology,Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Faculty of Information Technology

2. University of Regensburg

3. Pandora

4. Cornell University

5. Central Conservatory of Music

6. School of Arts, Peking University

7. Beijing Academy of Artificial Intelligence

8. University of California,Irvine

Funder

National Key R&D Program of China

Publisher

IEEE

Reference20 articles.

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. MemoMusic 4.0: Personalized Emotion Music Generation Conditioned by Valence and Arousal as Virtual Tokens;2024 IEEE International Conference on Multimedia and Expo Workshops (ICMEW);2024-07-15

2. Style-conditioned music generation with Transformer-GANs;Frontiers of Information Technology & Electronic Engineering;2024-01

3. From Vision to Sound: The Application of ViT-LSTM in Music Sequence;Lecture Notes in Computer Science;2024
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