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language: |
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- en |
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tags: |
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- MusicGeneration |
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--- |
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# Jukebox |
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## Overview |
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The Jukebox model was proposed in [Jukebox: A generative model for music](https://arxiv.org/pdf/2005.00341.pdf) |
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by Prafulla Dhariwal, Heewoo Jun, Christine Payne, Jong Wook Kim, Alec Radford, |
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Ilya Sutskever. |
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This model proposes a generative music model which can be produce minute long samples which can bne conditionned on |
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artist, genre and lyrics. |
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The abstract from the paper is the following: |
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We introduce Jukebox, a model that generates |
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music with singing in the raw audio domain. We |
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tackle the long context of raw audio using a multiscale VQ-VAE to compress it to discrete codes, |
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and modeling those using autoregressive Transformers. We show that the combined model at |
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scale can generate high-fidelity and diverse songs |
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with coherence up to multiple minutes. We can |
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condition on artist and genre to steer the musical |
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and vocal style, and on unaligned lyrics to make |
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the singing more controllable. We are releasing |
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thousands of non cherry-picked samples, along |
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with model weights and code. |
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Tips: |
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This model is very slow for now, and takes 18h to generate a minute long audio. |
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This model was contributed by [Arthur Zucker](https://huggingface.co/ArthurZ). |
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The original code can be found [here](https://github.com/openai/jukebox). |
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