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M4L.RhythmVAE

Max for Live(M4L) Rhythm generator using Variational Autoencoder(VAE)

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How it works

M4L.RhythmVAE - VAE Rhythm Generator for Max for Live/Ableton Live

If you want to quickly test the device, please use the one in /release directory.

VAE Rhythm Generator in M4L(Max for Live) Device

If you want to know the detail of the plugin, please refer to my arxiv paper:

Towards democratizing music production with AI-Design of Variational Autoencoder-based Rhythm Generator as a DAW plugin
Nao Tokui

Requirement

  • On Mac: Ableton Live Suite for Mac 10.1.2 or later
  • On Windows: Ableton Live Suite for Windows 10.1.2 and Standalone Max 8.1.2 or later
    On Windows, you need to set the path of external standalone Max installation on the preference panel of Ableton Live. The device is not compatible with the internal Max runtime.

Installation

If you want to edit Max patches and export the device by yourself:

  • Open M4L.RhythmVAE/M4L.RhythmVAE.maxproj, then open rhythmvae.maxpat from the project.
  • When you open rhythmvae.maxpat for the first time, you need to press script npm install to install Node.js packages.
  • Every time you export the device, you have to set Max for Live Device Type to MIDI on Project Inspector (Apparently this is a bug of Max/MSP.)

Pretrained model

  • You don't have enough training MIDI data? Don't worry! You can find a pretrained model trained with thausands of electronic dance music rhythm patterns in /release/models.

Known problems

  • Incompatible with folders with names containing special characters such as []?*!|@
  • Changes you make on the sequence grid view are not reflected the rhythm sequence. It is just a display!

TO DO

  • better documentation
  • better UI design!!
  • add a feature to add random noise to z

Updates

  • 2020.3 added | new plugin design by Naoki Ise
  • 2019.12.27 fxied| onset/velocity/offset training data used be shuffled independently. it makes no sense!
  • 2019.11.10 added| Time shift parameter / MIDI Mapping
  • 2019.10.19 fixed| beat sync issue
  • 2019.10.18 added| note on the requirement
  • 2019.9.14 added| functionality to save/load trained model
  • 2019.5.21 added| a pretrained model
  • 2019.3.11 added| Windows version!

Music Examples 🎵

Here is a track I made with rhythm patterns generated by this plugin: https://soundcloud.com/naotokui/missions-demo

MIDI Mapping

This devices considers the following 9 drum types:

Drum Types
Kick
Snare
Hi-hat closed
Hi-hat open
Tom low
Tom mid
Tom high
Clap
Rim

MIDI notes in a MIDI file will be classified into the 9 Drum Types based on General MIDI (GM) Mapping. We have two MIDI Mapping modes and you can select one of these mappings on the device:

Strict

MIDI Note Number Drum Type GM Type
36 Kick Acoustic Bass Drum
35 Kick Bass Drum
38 Snare Acoustic Snare
40 Snare Electric Snare
42 Hi-hat closed Closed Hihat
44 Hi-hat open Pedal Hihat
46 Hi-hat open Open Hihat
41 Tom low Low floor Tom
45 Tom low Low Tom
47 Tom mid Low-mid Tom
48 Tom mid High-mid Tom
43 Tom high High Floor Tom
50 Tom high High Tom
39 Clap hand clap
51 Rim Ride Symbal 1
52 Rim Chinese Symbal
53 Rim Ride Bell
59 Rim Ride Symbal 2

Greedy

MIDI Note Number Drum Type
36 Kick
35 Kick
38 Snare
27 Snare
28 Snare
31 Snare
32 Snare
33 Snare
34 Snare
37 Snare
39 Snare
40 Snare
56 Snare
65 Snare
66 Snare
75 Snare
85 Snare
42 Hi-hat closed
44 Hi-hat closed
54 Hi-hat closed
68 Hi-hat closed
69 Hi-hat closed
70 Hi-hat closed
71 Hi-hat closed
73 Hi-hat closed
78 Hi-hat closed
80 Hi-hat closed
46 Hi-hat open
67 Hi-hat open
72 Hi-hat open
74 Hi-hat open
79 Hi-hat open
81 Hi-hat open
45 Tom low
29 Tom low
41 Tom low
61 Tom low
64 Tom low
84 Tom low
48 Tom mid
47 Tom mid
60 Tom mid
63 Tom mid
77 Tom mid
86 Tom mid
87 Tom mid
50 Tom high
30 Tom high
43 Tom high
62 Tom high
76 Tom high
83 Tom high
49 Clap
55 Clap
57 Clap
58 Clap
51 Rim
52 Rim
53 Rim
59 Rim
82 Rim

(If you find these mappings are unnatual, please let me know. I'm not a drummer!)

Design

Title logo, Background Texture: Naoki Ise

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Max for Live(M4L) Rhythm generator using Variational Autoencoder(VAE)

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