NSynth Super

Categories: Music, Coding & Developer Tools | Pricing: Free | Official Website ↗

NSynth Super is an open-source experimental instrument that generates new musical sounds using a deep neural network.

NSynth Super is an experimental physical interface for the NSynth algorithm, developed by Google's Magenta project. It allows musicians to create music using novel sounds generated by machine learning. The NSynth algorithm employs a deep neural network to learn sound characteristics and synthesize entirely new sounds by combining the acoustic qualities of multiple source sounds, rather than simply blending them. The prototype instrument enables exploration of over 100,000 precomputed sounds derived from 16 original source sounds. Users interact with dials to select source sounds and a touchscreen to navigate the generated sound space. NSynth Super is an open-source project, with all technology, design, source code, schematics, and design templates available on GitHub, built using libraries like TensorFlow and openFrameworks.

Key Features

Generates new sounds using NSynth algorithm
Explores over 100,000 precomputed sounds
Combines acoustic qualities of 4 source sounds
Touchscreen interface for sound navigation
MIDI input compatibility (DAW, sequencer, keyboard)
Open-source hardware and software

Pros

Generates unique sounds difficult to achieve with traditional synths
Provides intuitive control over timbre and dynamics
Open-source nature allows for community experimentation and development
Offers a vast library of over 100,000 sounds
Compatible with standard MIDI sources

Cons

Requires technical knowledge to build the physical prototype
Not a commercial product, but an experimental project
Limited to precomputed sounds for the prototype
Physical interface needs to be constructed by the user
Focuses on sound generation, not full music production

Use Cases

Creating novel musical textures and timbres
Experimenting with machine learning in music composition
Developing custom musical instruments
Researching neural audio synthesis

Best For

Musicians interested in experimental sound design
Developers and researchers in audio machine learning
Artists exploring new creative tools
DIY electronics enthusiasts

Integrations: MIDI

Platforms: Web

Watch demo on YouTube ↗

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