MemoMusic 4.0: Personalized Emotion Music Generation Conditioned by Valence and Arousal as Virtual Tokens-Reference-Cited by-同舟云学术

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MemoMusic 4.0: Personalized Emotion Music Generation Conditioned by Valence and Arousal as Virtual Tokens

Published:2024-07-15 Issue: Volume: Page:1-6
ISSN:
Container-title:2024 IEEE International Conference on Multimedia and Expo Workshops (ICMEW)
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Author:

Mou Luntian¹,Sun Yihan¹,Tian Yunhan¹,He Ruichen¹,Gao Feng²,Li Zijin³,Jain Ramesh⁴

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. School of Arts, Peking University

3. Central Conservatory of Music

4. University of California,Irvine

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10645349/10645352/10645420.pdf?arnumber=10645420

Reference14 articles.

1. Mental health and music engagement: review, framework, and guidelines for future studies

2. MemoMusic: A Personalized Music Recommendation Framework Based on Emotion and Memory

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

4. Emotion-Based Music Generation Based on Nava Rasas in Indian Classical Music

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