- MusicVAE: Creating a palette for musical scores with machine learning: Magenta's team blog post on MusicVAE, explaining in more detail what we've seen in this chapter (magenta.tensorflow.org/music-vae)
- A Hierarchical Latent Vector Model for Learning Long-Term Structure in Music: Magenta's team paper on MusicVAE, a very approachable and interesting read (arxiv.org/abs/1803.05428)
- GrooVAE: Generating and Controlling Expressive Drum Performances: Magenta's team blog post on GrooveVAE, explaining in more detail what we've seen in this chapter (magenta.tensorflow.org/groovae)
- Learning to Groove with Inverse Sequence Transformations: Magenta's team paper on GrooVAE, very approachable and interesting read (arxiv.org/abs/1905.06118)
- Groove MIDI Dataset: The dataset used for the GrooVAE training, composed of 13.6 hours of aligned MIDI and...
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Alexandre DuBreuil is a software engineer and generative music artist. Through collaborations with bands and artists, he has worked on many generative art projects, such as generative video systems for music bands in concerts that create visuals based on the underlying musical structure, a generative drawing software that creates new content based on a previous artist's work, and generative music exhibits in which the generation is based on real-time events and data. Machine learning has a central role in his music generation projects, and Alexandre has been using Magenta since its release for inspiration, music production, and as the cornerstone for making autonomous music generation systems that create endless soundscapes.
Read more about Alexandre DuBreuil
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Alexandre DuBreuil is a software engineer and generative music artist. Through collaborations with bands and artists, he has worked on many generative art projects, such as generative video systems for music bands in concerts that create visuals based on the underlying musical structure, a generative drawing software that creates new content based on a previous artist's work, and generative music exhibits in which the generation is based on real-time events and data. Machine learning has a central role in his music generation projects, and Alexandre has been using Magenta since its release for inspiration, music production, and as the cornerstone for making autonomous music generation systems that create endless soundscapes.
Read more about Alexandre DuBreuil