1. Jean-Pierre Briot , Gaëtan Hadjeres , and François-David Pachet . 2017. Deep learning techniques for music generation–a survey. arXiv preprint arXiv:1709.01620 ( 2017 ). Jean-Pierre Briot, Gaëtan Hadjeres, and François-David Pachet. 2017. Deep learning techniques for music generation–a survey. arXiv preprint arXiv:1709.01620 (2017).
2. Gino Brunner , Yuyi Wang , Roger Wattenhofer , and Sumu Zhao . 2018. Symbolic music genre transfer with cyclegan. In 2018 ieee 30th international conference on tools with artificial intelligence (ictai) . IEEE , 786–793. Gino Brunner, Yuyi Wang, Roger Wattenhofer, and Sumu Zhao. 2018. Symbolic music genre transfer with cyclegan. In 2018 ieee 30th international conference on tools with artificial intelligence (ictai). IEEE, 786–793.
3. Edward M Burns . 1999. Intervals , scales, and tuning . In The psychology of music . Elsevier , 215–264. Edward M Burns. 1999. Intervals, scales, and tuning. In The psychology of music. Elsevier, 215–264.
4. Ching-Hua Chuan , Kat Agres , and Dorien Herremans . 2020. From context to concept: exploring semantic relationships in music with word2vec. Neural Computing and Applications 32 ( 2020 ). Ching-Hua Chuan, Kat Agres, and Dorien Herremans. 2020. From context to concept: exploring semantic relationships in music with word2vec. Neural Computing and Applications 32 (2020).
5. Padraig Cunningham and Sarah Jane Delany . 2021. k-Nearest neighbour classifiers-A Tutorial. ACM computing surveys (CSUR) 54, 6 ( 2021 ), 1–25. Padraig Cunningham and Sarah Jane Delany. 2021. k-Nearest neighbour classifiers-A Tutorial. ACM computing surveys (CSUR) 54, 6 (2021), 1–25.