Datamind Audio Releases Concatenator, AI-powered Audio Mosaic Tool


Datamind Audio released Concatenator, an AI-powered audio mosaicing tool that turns any sound into a playable instrument.

Distinctly different from sampling, Concatenator can use any microphone, instrument or audio file as real-time input to create complex and idiosyncratic sounds and textures.

Using proprietary machine learning techniques that analyze live audio input in real-time, the Concatenator plug-in re-constructs the signal using fragments of the samples you load into it. The result is a sonic potential as broad as whatever is thrown at it.

Concatenator uses a little known synthesis method called Concatenative synthesis which uses machine learning to analyze an incoming sound, and then tries to recreate it in real time, using fragments from samples that you load into it. It’s great for complex sample layering in sound design applications, but it also affords the user the chance to get really creative with it by manipulating how the algorithm selects and plays back the samples you put into it.

Datamind Audio Concatenator Features:

  • Lightning Fast Load Time – Your computer’s RAM size is the only limitation for how many samples can load into Concatenator.
  • Machine Learning control – Modulate how the audio matching algorithm “weighs-in” the spectral and amplitude components of the input signal.
  • Flexible modulation – 5 LFOs, 5 Envelope Followers, 5 Sidechain-enabled MIDI Envelopes
  • Total control – Control sample repetition with “Variation”, re-scatter the probabilities for chosen slices with “Particle Reset”, and then modulate how likely the sample is to hold once selected with “Stickiness”.
  • Dynamic Presets – Presets can be used with any sample combination, while additionally Corpus Presets store the currently loaded samples.

Datamind Audio Concatenator is available now for $149. A free one-week trial of Concatenator is also available.

For more information and demonstration videos, visit the Datamind Audio website.

 


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