Content based User Preference Modeling in Music Generation

Author:

Ma Xichu1,Wang Yuchen1,Wang Ye1

Affiliation:

1. National University of Singapore, Singapore, Singapore

Funder

National Univeristy of Singapore

Publisher

ACM

Reference61 articles.

1. Semi-Recurrent Cnn-Based Vae-Gan for Sequential Data Generation

2. Manuel Alfonseca , Manuel Cebrián Ramos, and Alfonso Ortega . 2006 . A fitness function for computer-generated music using genetic algorithms. WSEAS Transactions on Information Science and Applications ( 2006). Manuel Alfonseca, Manuel Cebrián Ramos, and Alfonso Ortega. 2006. A fitness function for computer-generated music using genetic algorithms. WSEAS Transactions on Information Science and Applications (2006).

3. Christopher Anderson , Arne Eigenfeldt , and Philippe Pasquier . 2013 . The generative electronic dance music algorithmic system (GEDMAS) . In Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment , Vol. 9 . 5--8. Christopher Anderson, Arne Eigenfeldt, and Philippe Pasquier. 2013. The generative electronic dance music algorithmic system (GEDMAS). In Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, Vol. 9. 5--8.

4. Global and country-specific mainstreaminess measures: Definitions, analysis, and usage for improving personalized music recommendation systems

5. Computational Creativity and Music Generation Systems: An Introduction to the State of the Art

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