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This experiment lets you play with new sounds created with machine learning. It’s built using Nsynth, a research project that trained a neural network on over 300,000 instrument sounds. NSynth is able to combine sounds, like a bass and flute, into a new, hybrid bass-flute sound.
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This experiment lets you play with new sounds created with...
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It's built using NSynth, a neural network trained on over 300,000 instrument sounds. Traditionally, a computer turns sound waves directly into numbers. To mix a bass and flute, you would add the numbers at each point along each sound wave.
6 kwi 2017 · Unlike a traditional synthesizer which generates audio from hand-designed components like oscillators and wavetables, NSynth uses deep neural networks to generate sounds at the level of individual samples.
5 kwi 2017 · The NSynth dataset can be download in two formats: TFRecord files of serialized TensorFlow Example protocol buffers with one Example proto per note. JSON files containing non-audio features alongside 16-bit PCM WAV audio files.
13 mar 2018 · Rather than combining or blending the sounds, NSynth synthesizes an entirely new sound using the acoustic qualities of the original sounds—so you could get a sound that’s part flute and part sitar all at once.
19 cze 2017 · You can either use the command line tool nsynth_generate (see the README for more info), or, in the Jupyter Notebook, I also show how you can save embeddings and generate audio directly in python using the new fast generation module. Here are some example sounds I tried resynthesizing using NSynth:
Open NSynth Super is an experimental physical interface for NSynth, a machine learning algorithm developed by Google Brain’s Magenta team to generate new, unique sounds that exist between different sounds.
