TB = Textbook or Required reading
REF = Reference or supplemental reading
eBook: Library database (use your credentials for access)
Print: Find copies on Course Reserve in the Library for limited loan periods
eRental: Available through Kortext and links are on Moodle
ML711: Intermediate Music AI
TB = Textbook or Required reading REF = Reference or supplemental reading
| Type | Title | eBook |
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Call Number |
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BBBBBBBB |
C. Roads, The computer music tutorial. MIT Press, 1996. |
MT56 .R6 2023 | ||||
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D.R. Hofstadter, Gödel, Escher, Bach: An Eternal Golden Braid, Vintage Books, 1979. |
Open Access
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QA9.8 .H63 1999 | ||||
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L. Bernstein, The unanswered question: six talks at Harvard. Harvard University Press, 1976. |
On oRDER | |||||
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Kingma, D. P., & Welling, M. (2013). Auto-encoding variational bayes. arXiv preprint arXiv:1312.6114. | NANA | ||||
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Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., ... & Polosukhin, I. (2017). Attention is all you need. Advances in neural information processing systems, 30. | Open Access | NA | |||
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Roberts, A., Engel, J., Raffel, C., Hawthorne, C., & Eck, D. (2018, July). A hierarchical latent vector model for learning long-term structure in music. In International conference on machine learning (pp. 4364-4373). PMLR. | Open Access | NA | |||
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Huang, C. Z. A., Vaswani, A., Uszkoreit, J., Shazeer, N., Simon, I., Hawthorne, C., ... & Eck, D. (2018). Music transformer. arXiv preprint arXiv:1809.04281. | Open Access | NA | |||
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Dai, S., Zhang, Z., & Xia, G. G. (2018). Music style transfer: A position paper. arXiv preprint arXiv:1803.06841. | NA | ||||
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Yang, R., Wang, D., Wang, Z., Chen, T., Jiang, J., & Xia, G. (2019). Deep music analogy via latent representation disentanglement. arXiv preprint arXiv:1906.03626. | NA | ||||
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Wang, Z., Zhang, Y., Zhang, Y., Jiang, J., Yang, R., Zhao, J., & Xia, G. (2020). Pianotree vae: Structured representation learning for polyphonic music. arXiv preprint arXiv:2008.07118. | NA | ||||
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Wang, Z., Wang, D., Zhang, Y., & Xia, G. (2020). Learning interpretable representation for controllable polyphonic music generation. arXiv preprint arXiv:2008.07122. | NA | ||||
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Wang, Z., Chen, K., Jiang, J., Zhang, Y., Xu, M., Dai, S., ... & Xia, G. (2020). Pop909: A pop-song dataset for music arrangement generation. arXiv preprint arXiv:2008.07142. |
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NA | |||
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Zhao, J., & Xia, G. (2021). Accomontage: Accompaniment arrangement via phrase selection and style transfer. arXiv preprint arXiv:2108.11213. | NA | ||||
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Yi, L., Hu, H., Zhao, J., & Xia, G. (2022). Accomontage2: A complete harmonization and accompaniment arrangement system. arXiv preprint arXiv:2209.00353. | NA | ||||
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Zhao, J., Xia, G., & Wang, Y. (2023). Q&A: Query-Based Representation Learning for Multi-Track Symbolic Music re-Arrangement. arXiv preprint arXiv:2306.01635. | NA | ||||
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Zhao, J., Xia, G., & Wang, Y. (2023). AccoMontage-3: Full-Band Accompaniment Arrangement via Sequential Style Transfer and Multi-Track Function Prior. arXiv preprint arXiv:2310.16334. | NA | ||||
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Wang, Z., Xu, D., Xia, G., & Shan, Y. (2022, May). Audio-to-symbolic arrangement via cross-modal music representation learning. In ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 181-185). IEEE. |
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NA | |||
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Lin, L., Kong, Q., Jiang, J., & Xia, G. (2021). A unified model for zero-shot music source separation, transcription and synthesis. arXiv preprint arXiv:2108.03456. | NA |