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- W62039756 abstract "We propose a framework for computer music composition that uses resilient propagation (RProp) and long short term memory (LSTM) recurrent neural network. In this paper, we show that LSTM network learns the structure and characteristics of music pieces properly by demonstrating its ability to recreate music. We also show that predicting existing music using RProp outperforms Back propagation through time (BPTT)." @default.
- W62039756 created "2016-06-24" @default.
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- W62039756 date "2014-12-09" @default.
- W62039756 modified "2023-09-24" @default.
- W62039756 title "Bach in 2014: Music Composition with Recurrent Neural Network" @default.
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- W62039756 doi "https://doi.org/10.48550/arxiv.1412.3191" @default.
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