Mobile QR Code QR CODE

※ The user interface design of www.ieiespc.org has been recently revised and updated. Please contact inter@theieie.org for any inquiries regarding paper submission.

Journal Search

  1. Home
  2. Archive
  3. 2023-08 (Vol.12 No.04)
  4. 10.5573/IEIESPC.2023.12.4.329
XML PDF INFO REF

REFERENCES

1 
P. Dhariwal, et al., ``Jukebox: A generative model for music,'' arXiv preprint arXiv:2005.00341, 2020,DOI
2 
A. Agostinelli et al., ``MusicLM: Generating music from text,'' arXiv preprint arXiv:2301.11325, 2023,DOI
3 
G. Hadjeres et al., ``DeepBach: a steerable model for Bach chorales generation,'' in Proc. of International Conference on Machine Learning. PMLR, 2017, pp. 1362-1371,DOI
4 
C.-Z. A. Huang et al., ``Music transformer,'' in Proc. of International Conference on Learning Representations, 2019.URL
5 
C. Donahue et al., ``LakhNES: Improving multi-instrumental music generation with cross-domain pre-training,'' in Proc. of International Society for Music Information Retrieval Conference, 2019.URL
6 
B. Yu et al., ``Museformer: Transformer with fine- and coarse-grained attention for music generation,'' in Advances in Neural Information Processing Systems, 2022.URL
7 
L. Theis et al., ``A note on the evaluation of generative models,'', in Proc. of International Conference on Learning Representations, 2016.DOI
8 
B. L. Sturm and H. Maruri-Aguilar, ``The Ai Music Generation Challenge 2020: Double jig in the style of O’Neill’s 1001,'' Journal of Creative Music Systems, vol. 5, pp. 1-26, 2021.DOI
9 
D. Jeong et al, ``VirtuosoNet: A hierarchical RNN-based system for modeling expressive piano performance,'' in Proc. of 20th International Society for Music Information Retrieval Conference, 2019.URL
10 
B. Sturm et al., ``Folk music style modeling by recurrent neural networks with long short term memory units,'' in Late Breaking/Demo from 16th International Society for Music Information Retrieval Conference, 2015.URL
11 
B. L. Sturm et al., ``Music transcription modeling and composition using deep learning'', in Proc. of 1st Conference on Computer Simulation of Musical Creativity, 2016.DOI
12 
L. Casini and B. Sturm, ``Tradformer: A transformer model of traditional music,'' in Proc. of International Joint Conference on Artificial Intelligence, 2022.DOI
13 
O. Peracha, ``Improving polyphonic music models with feature-rich encoding,'' in Proc. of International Society for Music Information Retrieval Conference, 2020.URL
14 
M. Zeng et al., ``MusicBert: Symbolic music understanding with large-scale pre-training,'' in Findings of the Association for Computational Linguistics: ACL-IJCNLP, 2021.DOI
15 
D. Jeong et al., ``Score and performance features for rendering expressive music performances'', in Proc. of Music Encoding Conference, 2019.URL
16 
D. Jeong et al., ``Graph neural network for music score data and modeling expressive piano performance,'' in Proc. of International Conference on Machine Learning. PMLR, 2019, pp. 3060-3070.URL
17 
K. Cho et al., ``Learning phrase representations using RNN encoder-decoder for statistical machine translation, in Proc. of Empirical Methods in Natural Language Processing, 2014.DOI
18 
Z. Yang et al., ``Hierarchical attention networks for document classification'', in Proc. of the 2016 conference of the North American chapter of the association for computational linguistics: human langugage technologies, 2016. pp. 1480-1489.DOI
19 
B. Sturm, ``The Ai Music Generation Challenge 2022.''URL