Google AI project Magenta released its 90-second piano melody. Created through a trained neural network, provided with just four notes up front. Some other effects like drum beats were added later.
Google also published a new blog post probing into Magenta’s goals. Offering the most detail yet on Google’s artistic ambitions.
Long term goal of Magenta is to advance the state of the machine-generated art. Then build a community of artists around it.
Short term goal includes building generative systems that plug into the tools artists are already working with.
“We’ll start with audio and video support. Tools for working with formats like MIDI. Platforms that help artists connect to machine learning models.”
“We want to make it super simple to play music along with a Magenta performance model.”
“We believe that the models that have worked so well in speech recognition, translation and image annotation will seed an exciting new crop of tools for art and music creation,” wrote Eck.
Google AI project Magenta has two goals.
- First, it’s a research project to advance the state of the art in machine intelligence for music and art generation.
- Second, Magenta is an attempt to build a community of artists, coders, and machine learning researchers.
The core Magenta team will build open-source infrastructure around TensorFlow for making art and music. “We’ll start with audio and video support, tools for working with formats like MIDI, and platforms that help artists connect to machine learning models. For example, we want to make it super simple to play music along with a Magenta performance model.” Wrote Eck.
The project will live on both GitHub and use Google’s own open-source machine learning platform TensorFlow.
For now, Google in not inviting external contributors. If you’d like to keep up on Magenta as it grows, you can follow us on our GitHub and join our discussion group.