Conditional Semantic Music Generation in a Context of VR Project "Graphs in Harmony Learning"

The article proposes a perspective on the use of generative artificial models in a context of the VR project "Graphs in harmony learning". The usage of LSTM, ConvLSTM and conditional GAN with convolutional 1D layers for semantic music generation is discussed. The efficiency of the novel data encoding scheme, along with the design patterns based on the system of graphs, are shown.

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average