mlsanityData to 14 Oct 2026

Malakai: Music That Adapts to the Shape of Emotions

arXiv 2112.02070 ↗First posted 3 Dec 2021cs.MM cs.AIcited by 1

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Abstract (arXiv)

The advent of ML music models such as Google Magenta's MusicVAE now allow us to extract and replicate compositional features from otherwise complex datasets. These models allow computational composers to parameterize abstract variables such as style and mood. By leveraging these models and combining them with procedural algorithms from the last few decades, it is possible to create a dynamic song that composes music in real-time to accompany interactive experiences. Malakai is a tool that helps users of varying skill levels create, listen to, remix and share such dynamic songs. Using Malakai, a Composer can create a dynamic song that can be interacted with by a Listener

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 1 of its 10 references that are in the map. First posted on arXiv 3 Dec 2021.

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1 of 10 references.

References · 1

  1. 2018A Hierarchical Latent Vector Model for Learning Long-Term Structure in Musiccited by 131

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