Automatic melody harmonization with triad chords: A comparative study

Author:

Yeh Yin-Cheng1,Hsiao Wen-Yi1,Fukayama Satoru2ORCID,Kitahara Tetsuro3,Genchel Benjamin4,Liu Hao-Min1,Dong Hao-Wen1,Chen Yian5,Leong Terence5,Yang Yi-Hsuan1ORCID

Affiliation:

1. Academia Sinica, Taipei, Taiwan

2. National Institute of Advanced Industrial Science and Technology, Japan

3. Nihon University, Chiyoda, Japan

4. Georgia Institute of Technology, Atlanta, GA, USA

5. KKBOX Inc., Taipei, Taiwan

Publisher

Informa UK Limited

Subject

Music,Visual Arts and Performing Arts

Reference47 articles.

1. Allan, M. & Williams, C. K. I. (2005). Harmonising chorales by probabilistic inference. In Proceedings of the advances in neural information processing systems.

2. Briot, J. P., Hadjeres, G. & Pachet, F. (2017). Deep learning techniques for music generation: A survey. Preprint arXiv:1709.01620.

3. Chen, Y. H., Huang, Y. S., Hsiao, W. Y. & Yang, Y. H. (2020). Automatic composition of guitar tabs by transformers and groove modeling. In Proceedings of international society for music information retrieval conference.

4. Chen, T. P. & Su, L. (2018). Functional harmony recognition of symbolic music data with multi-task recurrent neural networks. In Proceedings of international society for music information retrieval conference (pp. 90–97).

5. Chuan, C. H. & Chew, E. (2007). A hybrid system for automatic generation of style-specific accompaniment. In Proceedings of international joint workshop on computational creativity.

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