Magenta, a research project by Google Inc., which creates music using machine learning, has launched a new instrument – NSynth Super. It is an open source experimental physical interface for the NSynth or Neural Synthesizer machine learning algorithm.
NSyth (Natural Synthesizer) is an algorithm that generates new sounds by combining the features of existing sounds. This is done by taking different sounds as an input, use a deep neural network to learn the characteristics of the input sounds, and then create a completely new sound based on these characteristics.
Magenta developed NSynth by using WaveNet, a neural network developed by Google’s own DeepMind to make artificial speech sound more natural. WaveNet allows NSynth to simulate musical instruments that would be impossible in the real world.
Watch this video to listen to some cool music created by NSynth Super.
NSynth provides artists with intuitive control over timbre and dynamics, and the ability to explore new sounds that would be difficult or impossible to produce with a hand-tuned synthesizer by learning directly from the data.
NSynth Super is an open source experimental instrument which gives musicians the ability to make music using completely new sounds generated by the NSynth algorithm from 4 different source sounds. It features touch screen and dial controls, along with an OLED display and custom-designed printed circuit board.
NSynth Super is built using open source libraries, which includes TensorFlow and openFrameworks. This allows a wider community of artists, coders, and researchers to experiment with machine learning within their creative sphere.
The open source version of the NSynth Super prototype, which includes all of the source code, schematics, and design templates, is available for download on GitHub.
Read more about this exciting project on NSynth Super’s official website.
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