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Audio-Classification-CNN

As a final project for the CS 254: Machine Learning course at the University of Vermont, we worked with classifying audio files based on gender and emotion.

Personal Contribution To Final Project

  • Built all aspects of convolutional neural nework
    • Architecture of CNN
    • Hyperparameter tuning using KerasTuner
  • Preproccessed audio WAV files to be uniform length with little silent time
  • Proccessed WAV files into Mel-frequency cepstrum (MFCC) data for ML algorithims

Final Project Materials

audio-classification-cnn's People

Contributors

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