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Divide the data into 70% for training and 30% for testing. Extract all the audio features (time and frequency domain). Visualize the feature space in 3D using PCA and report the number of coefficients which offer at least 80% of variance. Train the kNN classifier on the train set to classify the test set.
Negative Melody Generator
Parametric Eq Controller By Osc
Deix Project
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