AI tools for inspiration in Ableton Live by Google Magenta.

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Magenta, google AI for Music Production on Ableton

What is Google Magenta?

Magenta is Google’s AI Wing that aims at developing new deep learning algorithms for generating songs, images, drawings, and alternative materials. Besides this, they also build tools and interfaces that enable artists and musicians to increase, not replace, their processes using these learning algorithm models. All their AI models and tools are open source and available on GitHub.

Google’s Magenta Wing explores the role of machine learning within the processes of making art and music. It was started by some researchers and engineers from the “Google Brain Team” along with several others who have contributed tirelessly to this project.

Magenta Studio (v0.1) Beta

Magenta Studio is a collection of music plugins designed on Magenta’s AI tools and models that use machine learning techniques for generating music. These tools are offered as standalone, as well as plugins for Ableton Live!

Plugins Included in Magenta Studio.

Continue

Continue uses the predictive power of recurrent neural networks (RNN) to generate notes that are likely to follow your drum beat or melody. Helpful for adding variation to a drumbeat or creating new material for a melodic track.

Generate

Similar to Continue, Generate generates a 4 bar phrase with no input necessary. Generate uses a Variational Autoencoder (VAE) that has been trained on millions of melodies and rhythms to learn a summarised representation of musical qualities. Generate then chooses a random combination of these summarised qualities and decodes it back to MIDI to produce a new musical clip.

Interpolate

Interpolate takes two drum beats or two melodies as inputs. It then generates up to 16 clips which combine the qualities of these two clips. Useful for merging musical ideas, or creating a smooth morphing between them. Interpolate also uses a Variational Autoencoder (VAE) similar to Generate

Groove

Groove adjusts the timing and velocity of an input drum clip to produce the “feel” of an actual drummer. Quantized drum patterns are translated into human-like performances. Magenta has recorded 15 hours of real drummers performing on MIDI drum kits for this plugin.

Drumify

Drumify is used to generate a drum accompaniment to a bassline or melody, or to create a drum track from a tapped rhythm. It works best with performed inputs, but it can also handle quantized clips.

Read more about Magenta and the open-source research project that is exploring the role of machine learning as a tool in the creative process here

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