Exploring Strategies for Latent Space Disentanglement of Variational AutoEncoders in Musical Style Transfer
| dc.contributor.advisor | 斎藤, 博昭 / 准教授 | |
| dc.contributor.author | SHERPA, GUILLAUME TSIRING / シェルパ, ギヨーム ツェリン | |
| dc.date.accessioned | 2023-08-25T06:57:37Z | |
| dc.date.available | 2023-08-25T06:57:37Z | |
| dc.date.issued | 2022-09-05 | |
| dc.description | 修士（工学）, 2022, 開放環境科学専攻 | |
| dc.identifier.uri | /sigma_local/handle/10721/14022 | |
| dc.language | en | |
| dc.publisher | 慶應義塾大学理工学研究科 | |
| dc.subject | Music style transfer | en |
| dc.subject | deep learning | en |
| dc.subject | Variational autoencoder | en |
| dc.subject | disentanglement | en |
| dc.title | Exploring Strategies for Latent Space Disentanglement of Variational AutoEncoders in Musical Style Transfer | |
| dc.title.alternative | Exploring Strategies for Latent Space Disentanglement of Variational AutoEncoders in Musical Style Transfer | |
| dc.type | 学位論文 |
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