Ali C. Gedik, B. B. (2010). Pitch-frequency histogram-based music information retrieval for Turkish music. Elsevier, 1049-1063. doi:10.1016/j.sigpro.2009.06.017
Briot, J. (2021). From artificial neural networks to deep learning for music generation: history, concepts and trends. Neural Comput & Applic, Springer, 31-65. doi:10.1007/s00521-020-05399-0
Chen, Y.-H. H.-Y.-H.-H. (2020). Automatic Composition of Guitar Tabs by Transformers and Groove Modeling. Accepted at Proc. Int. Society for Music Information Retrieval Conf. 2020, 1-5.
Curtis Hawthorne, A. S.-Z. (2019). Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Dataset. In International Conference on Learning Representations, 2019., (p. Version 2.0).
G′omez, N. K. (2015). Automatic Transcription of Flamenco Singing from. arXiv:1510.04039v1 [cs.SD] IEEE TRANSACTIONS ON AUDIO, SPEECH, AND LANGUAGE PROCESSING, 1-16.
Hawthorne, I. S. (2021). Sequence-to-Sequence Piano Transcription with Transformers. Sound (cs.SD); Machine Learning (cs:LG); Audio and Speech Procesing (eess.AS), 35-40.
I. Barbancho, L. J. (2012). Inharmonicity-Based Method for the Automatic Generation of Guitar Tablature. IEEE Transactions on Audio, Speech, and Language Processing, 1857-1868.
Kong, Q. L. (2021). High-resolution piano transcription with pedals by regressing onsets and offsets times. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 3707–3717.
N. Rosmawarni, T. T. (2023). "Handcrafted Feature From Classification Mood Music Indonesia With Machine Learning BERT and Transformer. 2023 International Conference on Informatics, Multimedia, Cyber and Informations System (ICIMCIS), 526-531. doi:10.1109/ICIMCIS60089.2023.10349006.
N. Rosmawarni, T. T. (2023). Hyperparameter Tuning On Machine Learning Transformers For Mood Classification In Indonesian Music. 2023 International Conference on Informatics, Multimedia, Cyber and Informations System (ICIMCIS), 639-643. doi:10.1109/ICIMCIS60089.2023.10349008.
Nakamura, E. Y. (2017). Performance error detection and post-processing for fast and accurate symbolic music alignment. In International Society for Music Information Retrieval (ISMIR), 347–353.
Peterson, G. H. (2017). Integrating Computer Science into Music Education. Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education, 459-464.
Sarmento, P. K. (2023). GTR-CTRL: Instrument and Genre Conditioning for Guitar-Focused Music Generation with Transformers. (eds) Artificial Intelligence in Music, Sound, Art and Design, Springer, 260-275.
Shih-Lun Wu, Y.-H. Y. (2022). MuseMorphose: Full-Song and Fine-Grained Piano Music Style Transfer with One Transformer VAE. arXiv:2105.04090 [cs.SD], 1-8.
Xianchao Wu, C. W. (2020). Transformer-XL Based Music Generation with Multiple Sequences of Time-valued Notes. Multimedia (cs.MM); Audio and Speech Processing (eess.AS), 1-9.