From 0f0c7d8599556248ff452178814800bd9a8329f5 Mon Sep 17 00:00:00 2001 From: Ravi Singh <59569106+singhravipratap@users.noreply.github.com> Date: Thu, 25 Apr 2024 07:19:41 +0530 Subject: [PATCH] Update README.md updated the paper name and formatting. --- artificial_intelligence/README.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/artificial_intelligence/README.md b/artificial_intelligence/README.md index 700820f..09baff9 100644 --- a/artificial_intelligence/README.md +++ b/artificial_intelligence/README.md @@ -13,4 +13,5 @@ * [A Universal Music Translation Network (2018)](https://arxiv.org/pdf/1805.07848.pdf) by Noam Mor, Lior Wolf, Adam Polyak & Yaniv Taigman > 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. - > * [Attension is all you need](http://papers.neurips.cc/paper/7181-attention-is-all-you-need.pdf)) by Ashish Vaswani et al. + +* [Attention is all you need](http://papers.neurips.cc/paper/7181-attention-is-all-you-need.pdf)) by Ashish Vaswani et al.