Classifying Sounds using a Neural Network in SuperCollider

This video demonstrates how to use a neural network to distinguish between oboe and trombone timbre using the FluCoMa Toolbox in SuperCollider. 0:16 Demo 0:25 Theory 3:30 Creating Training and Testing Sets 7:18 MFCC Analysis 11:44 Adding Analyses to a FluidDataSet 19:52 Training the Neural Network 22:02 Making Predictions (Testing the Neural Network) 23:47 Making Predictions on the server 28:43 Loudness Threshold Gating Predictions For more information about the attributes of FluidMLPClassifier, visit https://learn.flucoma.org/reference/m... Find the completed code here: https://learn.flucoma.org/examples/cl... 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/ #neuralnetworks #machinelearning #supercollider #flucoma