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arXiv · 2111.02216

Automatic Embedding of Stories Into Collections of Independent Media

Dylan R. Ashley·Vincent Herrmann·Zachary Friggstad·Kory W. Mathewson·Jürgen Schmidhuber
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Abstract

We look at how machine learning techniques that derive properties of items in a collection of independent media can be used to automatically embed stories into such collections. To do so, we use models that extract the tempo of songs to make a music playlist follow a narrative arc. Our work specifies an open-source tool that uses pre-trained neural network models to extract the global tempo of a set of raw audio files and applies these measures to create a narrative-following playlist. This tool is available at https://github.com/dylanashley/playlist-story-builder/releases/tag/v1.0.0

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Dylan R. Ashley, Vincent Herrmann, Zachary Friggstad, Kory W. Mathewson, Jürgen Schmidhuber. 2021-11-03. Automatic Embedding of Stories Into Collections of Independent Media. https://arxiv.org/abs/2111.02216

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