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VGU RESEARCH REPOSITORY


Please use this identifier to cite or link to this item: https://epub.vgu.edu.vn/handle/dlibvgu/1719
DC FieldValueLanguage
dc.contributor.authorLe Duc Minhen_US
dc.date.accessioned2023-10-26T04:02:21Z-
dc.date.available2023-10-26T04:02:21Z-
dc.date.issued2023-
dc.identifier.urihttps://epub.vgu.edu.vn/handle/dlibvgu/1719-
dc.description.abstractUsing deep learning to compose music is an application that has been around for a long time and is gradually gaining attention. However, previous inventions focused on treating music as a sequence of events, forgetting that music has its characteristics, such as having a structure; in particular, this leads to music produced by the machine often becoming lackluster or melodic. In this project, I develop a model that allows the machine to learn musical characteristics so that the machine can generate variety in the melodies of songs. I also built a friendly interface, so that users can communicate with the model through just basic operationsen_US
dc.language.isovien_US
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/*
dc.subjectMusic Generationen_US
dc.subjectDeep learningen_US
dc.subjectVAEen_US
dc.subjectTransformeren_US
dc.subjectAttention mechanismen_US
dc.subjectSymbolic representationen_US
dc.titleNeural notes - music style transfer with VAE-transformeren_US
dc.typeThesisen_US
item.grantfulltextrestricted-
item.fulltextWith Fulltext-
item.languageiso639-1other-
Appears in Collections:Computer Science (CS)
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