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What is NSynth Super?

NSynth Super is an experimental physical interface developed by Google that combines machine learning with musical sound synthesis. It uses Google's NSynth algorithm, a neural network trained on thousands of musical instrument recordings, to generate entirely new sounds by interpolating between existing instruments. Rather than traditional synthesis parameters, users manipulate sounds intuitively through a touch-sensitive interface, making complex sound design accessible to musicians and producers without deep technical knowledge. The device blends hardware and AI to create sounds that exist between familiar instruments, opening new creative possibilities for electronic music production, sound design, and audio experimentation.

Key Features

Neural audio synthesis

AI-generated sounds created by interpolating between real instrument recordings

Intuitive touch interface

4-key XY pad for expressive, real-time sound manipulation

Sound interpolation

Smoothly blend between different instruments or user-created sounds

MIDI compatibility

Integrates with DAWs and music production software via MIDI

Customizable sound sets

Load and create custom collections of sounds to explore

Audio output

High-quality synthesis with standard audio outputs for integration into music workflows

Pros & Cons

Advantages

  • Produces genuinely unique sounds impossible with traditional synthesis methods
  • Lowers barriers to sound design, no need for deep synthesis knowledge
  • Engaging tactile interface makes sound exploration playful and intuitive
  • Backed by Google Research with modern machine learning technology

Limitations

  • Limited availability, requires access to the specific hardware device or web version
  • Steep learning curve for maximising creative potential despite intuitive controls
  • Sound quality depends on the training data; results can be unpredictable or experimental

Use Cases

Electronic music production and creating signature sounds for original tracks

Sound design for video games, film, and multimedia projects

Audio experimentation and exploration by sound designers and audio technicians

Educational tool for learning about machine learning and neural audio synthesis

Live performance and real-time sound manipulation in DJ and live electronic music contexts