A MUSIC GENERATION BY A COMBINING MODELOF RESNET AND LSTM NETWORKSJournal: International Journal of Advanced Research (Vol.10, No. 03)
Publication Date: 2022-03-15
Authors : Kazuya Ozawa; Hideaki Okazaki;
Page : 937-943
Keywords : MIDI LSTM Residual Neural Networks and Skip connection;
In this paper, to automatically generate a music for the melody part by deep learning with training data collected from Chopins piano piecies, a combining model of Residual Neural Networks(ResNet) and Long-Short Term Memory Networks (LSTM) are proposed. First, to generate a music for the melody part of a piano music, a training dataset used for deep learning is provided. Secondly, by using each of a LSTM Model and a combining model of LSTM and ResNet,experiments on music generationare presented. Thirdly, the results of music generation by each model are compared and discussed. In conclusion, the principal results are summarized.
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Last modified: 2022-05-09 19:53:59