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Repository of the UMAP 2021 paper "Generating Interesting Song-to-Song Segues With Dave"

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Please welcome Dave!

This is the repository of Giovanni Gabbolini and Derek Bridge's "Generating Interesting Song-to-Song Segues With Dave".

Installation

Clone the repository: git clone https://github.com/GiovanniGabbolini/dave.git

Install the dependencies: pip install -r requirements.txt

Download additional data from here, and place them in playlist_explanation/res/

Quick start

Try Dave!

Hit run.py to have Dave generate a segue from a song of your choice.

Dataset

We share quality judgements about segues by 158 users, find them in res/p/answers/, as well as some analysis on the dataset, find them in user_trial/.

References

Giovanni Gabbolini and Derek Bridge. 2021. Generating Interesting Song-to-Song Segues With Dave. InProceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization (UMAP ’21), June 21–25, 2021, Utrecht, Netherlands. ACM, New York, NY, USA, 10 pages. https://doi.org/10.1145/3450613.3456819

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Repository of the UMAP 2021 paper "Generating Interesting Song-to-Song Segues With Dave"

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