Create a pop music Transformer
Please read the topic categorydescriptionto understand what this is all aboutDescriptionIf you treat music notation as a form of “text”, you can use language modelling to generate new songs! The goal of this project is to explore how well Transformers perform at music modelling.Model(s)None that we could find on the Hub, but seeherefor some pretrained music TransformersDatasetsNone that we could find on the Hugging Face Hub, but seeherefor some ideasChallengesThis task probably involves pretraining a Transformer, which can potentially take multiple days using the GPU resources provided by AWS. An interesting alternative would be to see whether one can integrate an existing pretrained model withinTransformers and use that to either fine-tune.Desired project outcomesCreate a Streamlit or Gradio app onSpacesthat people can remix famous songs with newly generated onesDon’t forget to push all your models and datasets to the Hub so others can build on them!Additional resourceshttps://towardsdatascience.com/creating-a-pop-music-generator-with-the-transformer-5867511b382ahttps://arxiv.org/abs/2002.00212https://openai.com/blog/jukebox/https://research.google/teams/brain/magenta/Discord channelTo chat and organise with other people interested in this project, head over to ourDiscordand:Follow the instructions on the#join-coursechannelJoin the#pop-music-transformerchannelJust make sure you comment here to indicate that you’ll be contributing to this project
2021-11-16T22:58:28Z
This one seems pretty difficult, but too interesting to pass up. I’ll try working on it.
2021-11-17T11:31:03Z
Hey@psistolar! Yes this is a somewhat challenging project and one that might not be possible in the timeframe if you adopt the pretraining approach. Let me think about how we can simplify it and I’ll post back hereIn the meantime, there’s a new Discord channel (see topic description) in case you and others need it