Update README.md #790
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Update README.md #790
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👋🏽 Thanks for the PR. It looks like there's a small issue with the formatting, in that you have the Also, "Attention" is misspelled in the link. |
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@singhravipratap please fix when possible, and we'll get this in. |
updated the paper name and formatting.
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@DarrenN, @zeeshanlakhani, Thanks for the review, Updated the record. |
| > This paper proposes a method for translating music across musical instruments, genres, and styles. It is based on a multi-domain wavenet autoencoder, with a shared encoder and a disentangled latent space that is trained end-to-end on waveforms. Employing a diverse training dataset and large net capacity, the domain-independent encoder enables translation even from musical domains that were not seen during training. The method is unsupervised and does not rely on supervision in the form of matched samples between domains or musical transcriptions. This method is evaluated on NSynth, as well as on a dataset collected from professional musicians, and achieve convincing translations, even when translating from whistling, potentially enabling the creation of instrumental music by untrained humans. | ||
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| * [Attention is all you need](http://papers.neurips.cc/paper/7181-attention-is-all-you-need.pdf)) by Ashish Vaswani et al. |
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super minor, but there's an extra ). Can you remove it?
zeeshanlakhani
requested changes
May 13, 2024
| > This paper proposes a method for translating music across musical instruments, genres, and styles. It is based on a multi-domain wavenet autoencoder, with a shared encoder and a disentangled latent space that is trained end-to-end on waveforms. Employing a diverse training dataset and large net capacity, the domain-independent encoder enables translation even from musical domains that were not seen during training. The method is unsupervised and does not rely on supervision in the form of matched samples between domains or musical transcriptions. This method is evaluated on NSynth, as well as on a dataset collected from professional musicians, and achieve convincing translations, even when translating from whistling, potentially enabling the creation of instrumental music by untrained humans. |
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Does this need the extra space?
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Paper Title: Attention is all you need
Paper Year: 2017
Reasons for including paper: