Make That Sound More 'Metallic': Towards a Perceptually Relevant Control of the Timbre of Synthesizer Sounds Using a Variational Autoencoder
In this article, we propose a new method of sound transformation based on control parameters that are intuitive and relevant for musicians. This method uses a variational autoencoder (VAE) model that is first trained in an unsupervised manner on a large dataset of synthesizer sounds. Then, a percept...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Ubiquity Press
2021-05-01
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| Series: | Transactions of the International Society for Music Information Retrieval |
| Subjects: | |
| Online Access: | https://transactions.ismir.net/articles/76 |