MIDI Data Miner MDM uses a neural network to learn correlations between control changes and notes in a MIDI file
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MIDI Data Miner Description

MDM uses a neural network to learn correlations between control changes and notes in a MIDI file. After training MDM can augment a live MIDI stream, adding control changes based on notes received. Ue MDM by connecting a MIDI device, open preferences and set MIDI input and output ports. Open a MIDI file, create a new neural net and train. Now play notes on your MIDI device, MDM will automatically add control changes. MDM creates a collection of note and controller pairs from the file and uses them to train a net. The notes are used as inputs and the controls as outputs. The window is the number of previous notes considered when determining the output for the current note. Larger windows give less predictable more interesting responses. Enter a number in the window box and press enter to set the window size. Note: Free for personal use.

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