Music Translation : Facebook AI Research (Recent Updates)
Music : a harmonious arrangement of notes, in sync, it can make you dance with it like Beethoven's ode to joy, but out of sync, it becomes noise and gives you major headaches. In this video, we are going to understand few key concepts in music domain and also be reviewing an interesting paper submitted in Arxiv by Facebook AI group, titled "A Universal Music Translation Network".
Arxiv Paper : https://arxiv.org/pdf/1805.07848.pdf
Demo Video (must watch): • A Universal Music Translation Network
References
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Mor, N., Wolf, L., Polyak, A., & Taigman, Y. (2018). A Universal Music Translation Network. arXiv preprint arXiv:1805.07848.
Van Den Oord, A., Dieleman, S., Zen, H., Simonyan, K., Vinyals, O., Graves, A., ... & Kavukcuoglu, K. (2016). Wavenet: A generative model for raw audio. arXiv preprint arXiv:1609.03499.
Sigtia, S., Benetos, E., & Dixon, S. (2016). An end-to-end neural network for polyphonic piano music transcription. IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP), 24(5), 927-939.
Sutskever, I., Vinyals, O., & Le, Q. V. (2014). Sequence to sequence learning with neural networks. In Advances in neural information processing systems (pp. 3104-3112).
Roberts, A., Engel, J., Raffel, C., Hawthorne, C., & Eck, D. (2018). A Hierarchical Latent Vector Model for Learning Long-Term Structure in Music. arXiv preprint arXiv:1803.05428.
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