Google Magenta-Making Music with MIDI and Machine Learning

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This project is part of Magenta's ongoing experiment. Google's open source deep learning project is exploring how machine learning tools can help artists and artists create in new ways. NSynth Super is a machine learning algorithm that learns the characteristics of sound using a deep neural network and creates a completely new sound based on its characteristics. Instead of combining and mixing sounds, NSynth synthesizes a whole new sound using the acoustic characteristics of the original sound.

Google's Magenta team has released a wonderful piece of work to produce music using machine learning. They developed a model that combines the musical phrases of individual instruments realistically and smoothly and produces several instruments for playing together. The result seems to be human sentences. Amazon invests heavily in Alexa which is a speech recognition system for products such as Echo. As described in this article by Forbes magazine, Amazon is not hiring all teams by Google, but rather recruits more Alexa developers. Amazon positions Alexa as home operating system. Appeared on platforms such as television and stereo, Alexa's programming ecosystem (called "skill") is expanding.

First, let's introduce Google Magenta. Google's brains project is to apply artificial intelligence technology to art. Source code can be obtained from here. This is a good starting point for using machine learning with music production. This tutorial is very useful, so it's easy to generate music with Google Magenta.