VGU RESEARCH REPOSITORY
Please use this identifier to cite or link to this item:
https://epub.vgu.edu.vn/handle/dlibvgu/1719| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Le Duc Minh | en_US |
| dc.date.accessioned | 2023-10-26T04:02:21Z | - |
| dc.date.available | 2023-10-26T04:02:21Z | - |
| dc.date.issued | 2023 | - |
| dc.identifier.uri | https://epub.vgu.edu.vn/handle/dlibvgu/1719 | - |
| dc.description.abstract | Using 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 operations | en_US |
| dc.language.iso | vi | en_US |
| dc.rights | Attribution-NonCommercial 4.0 International | * |
| dc.rights.uri | https://creativecommons.org/licenses/by-nc/4.0/ | * |
| dc.subject | Music Generation | en_US |
| dc.subject | Deep learning | en_US |
| dc.subject | VAE | en_US |
| dc.subject | Transformer | en_US |
| dc.subject | Attention mechanism | en_US |
| dc.subject | Symbolic representation | en_US |
| dc.title | Neural notes - music style transfer with VAE-transformer | en_US |
| dc.type | Thesis | en_US |
| item.grantfulltext | restricted | - |
| item.fulltext | With Fulltext | - |
| item.languageiso639-1 | other | - |
| Appears in Collections: | Computer Science (CS) | |
Files in This Item:
| File | Description | Size | Format | Existing users please Login |
|---|---|---|---|---|
| Neural notes music style transfer with vae-transformer.pdf | 3.82 MB | Adobe PDF |
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This item is licensed under a Creative Commons License