Magenta is an open source research project exploring the role of machine learning as a tool in the creative process.
About the team
Magenta was started by researchers and engineers from the Google Brain team, but many others have contributed significantly to the project. We develop new deep learning and reinforcement learning algorithms for generating songs, images, drawings, and other materials. But it's also an exploration in building smart tools and interfaces that allow artists and musicians to extend their processes using these models. We use TensorFlow and release our models and tools in open source on our GitHub.
A collection of music plugins built on Magenta’s open source tools and models. They use cutting-edge machine learning techniques for music generation.
Our new model for automatic polyphonic piano music transcription. Using this model, we can convert raw recordings of solo piano performances into MIDI.
Creating a palette for musical scores with machine learning.
NSynth (Neural Synthesizer). It’s a machine learning algorithm that uses a deep neural network to learn the characteristics of sounds, and then create a completely new sound based on these characteristics.
Some of our people
We’re incredibly proud of the work researchers across Google are doing to push the field of AI further.