Pierre Alexandre Tremblay

We are starting to create video tutorial to explain to Max users how to (ab)use our toolset (flucoma.org) and here are the first 2. The are code-along and should be entry points to the our extension set.

How to classify sounds using a neural network:

This video demonstrates how to use a neural network to distinguish between oboe and trombone timbre using the FluCoMa Toolbox in Max.

For more information about the attributes of fluid.mlpclassifier~, visit https://learn.flucoma.org/reference/mlpclassifier/

Find the completed patch here:
https://learn.flucoma.org/examples/classification-video-demo.maxpat
The Fluid Corpus Manipulation Toolbox (FluCoMa) is a software extension that enables programmatic sound bank mining with machine listening and machine learning within Max, SuperCollider, and Pure Data. 

Website: https://www.flucoma.org/
Download: https://www.flucoma.org/download/
Discourse: https://discourse.flucoma.org/

Max: https://cycling74.com/
SuperCollider: https://supercollider.github.io/
Pure Data: https://puredata.info/

Classifying Sounds with a Neural Network in Max

How to regress a synthesiser control space using a neural network:

This video demonstrates how to use a neural network to control a synthesizer that has 10 control parameters using just the 2 control parameters of an XY pad with the FluCoMa Toolkit.

To learn more about fluid.mlpregressor~ visit: https://learn.flucoma.org/reference/mlpregressor/

Find the completed patch at:
https://learn.flucoma.org/examples/regressor-video-demo.maxpat

The Fluid Corpus Manipulation Toolbox (FluCoMa) is a software extension that enables programmatic sound bank mining with machine listening and machine learning within Max, SuperCollider, and Pure Data. 

Website: https://www.flucoma.org/
Download: https://www.flucoma.org/download/
Discourse: https://discourse.flucoma.org/

Max: https://cycling74.com/
SuperCollider: https://supercollider.github.io/
Pure Data: https://puredata.info/

Controlling a Synth using a Neural Network in Max

Comments welcome, here or on the project discourse.flucoma.org - there will be the obvious follow up explaining neural net parameters in musically relevant language soon.

We are starting to create video tutorial to explain to Max users how to (ab)use our toolset (flucoma.org) and here are the first 2. The are code-along and should be entry points to the our extension set.

How to classify sounds using a neural network:


How to regress a synthesiser control space using a neural network:


Dear all
We are starting to create video tutorial to explain to Max users how to (ab)use our toolset (flucoma.org) and here are the first 2.

neural-net-based-classification-and-regression-using-flucoma-tutorials-and-code

Thank you for sharing. Great, very inspiring materials!

Neural Net-based classification and regression using FluCoMa - tutorials and code