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Nkululeko

1. December 2022 felix Leave a comment

This is the entry post for Nkululeko: a framework to do machine learning experiments on audio data based on configuration files.

Here's an overview on the tutorials:

  • Introduction
  • Nkulueko FAQ
  • How to set up your first nkululeko project
  • Setting up a base nkululeko experiment
  • How to import a database
  • Comparing classifiers and features
  • Use Praat features
  • Combine feature sets
  • Classifying continuous variables
  • Try out / demo a trained model
  • Plot distributions of feature values
  • Perform cross database experiments
  • Meta parameter optimization
  • How to set up wav2vec embedding
  • How to soft-label a database
  • Re-generate the progressing confusion matrix animation wit a different framerate
  • How to limit/filter a dataset
  • Specifying database disk location
  • Add dropout with MLP models
  • Do cross-validation
  • Combine predictions per speaker
  • Run multiple experiments in one go
  • Compare several MLP layer layouts with each other
  • Import features from outside the software
  • Explore feature importance
  • Plot distributions for feature values

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