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In this paper, we introduce new methods and discuss results of text-based LSTM (Long Short-Term Memory) networks for automatic music composition.
Hiller, L., Isaacson, L.M.: Experimental Music. Composition with an Electronic Computer. McGraw-Hill Book Company (1959)
1959
Earlier work this paper cites.
Jordan, M.I.: Attractor dynamics and parallellism in a connectionist sequential machine. Lawrence Erlbaum Associates (1986)
1986
Earlier work this paper cites.
Lewis, J.: Algorithms for music composition by neural nets: Improved cbr paradigms. In: International Computer Music Conference (1989)
1989
Earlier work this paper cites.
Mozer, M.C.: Neural network music composition by prediction. Connection Science 6(2-3), 247–280 (1994)
1994
Earlier work this paper cites.
Hochreiter, S., Bengio, Y., Frasconi, P., Schmidhuber, J.: Gradient flow in recurrent nets: the difficulty of learning long-term dependencies (2001)
2001
Earlier work this paper cites.
De Mantaras, R.L., Arcos, J.L.: Ai and music: From composition to expressive performance. AI magazine 23(3), 43 (2002)
2002
Earlier work this paper cites.
Eck, D., Schmidhuber, J.: A first look at music composition using lstm recurrent neural networks 103 (2002)
2002
Cited alongside, same era.
Allan, M., Williams, C.K.: Harmonising chorales by probabilistic inference. Advances in neural information processing systems 17, 25–32 (2005)
2005
Cited alongside, same era.
Franklin, J.A.: Recurrent neural networks for music computation. INFORMS Journal on Computing 18(3), 321–338 (2006)
2006
Cited alongside, same era.
Kleedorfer, F., Knees, P., Pohle, T.: Oh oh oh whoah! towards automatic topic detection in song lyrics. In: ISMIR. pp. 287–292 (2008)
2008
Cited alongside, same era.
Simon, I., Morris, D., Basu, S.: Mysong: automatic accompaniment generation for vocal melodies. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. pp. 725–734. ACM (2008)
2008
Sutskever, I., Martens, J., Hinton, G.E.: Generating text with recurrent neural networks. In: Proceedings of the 28th International Conference on Machine Learning (ICML-11). pp. 1017–1024 (2011)
2011
Later among the works it cites.
2014
Later among the works it cites.
2014
Later among the works it cites.
Chollet, F.: Keras: Deep learning library for theano and tensorflow. https://github.com/fchollet/keras (2015)
2015
Later among the works it cites.
Lambert, A.J., Weyde, T., Armstrong, N.: Perceiving and predicting expressive rhythm with recurrent neural networks (2015)
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2015
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