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Fixed-MAML

Fixed-MAML: Speech Emotion Recognition. The repository is inspired from MAML Pytorch Implementation

Steps to reproduce the results.

  1. Download the EmoFilm Dataset.
  2. Split the dataset based on language and emotion.
  3. Generate silence class label data and download neutral data from EmoDB-dataset or you can generate it yourself.
  4. Create a csv file accordingly to train and run the model.
  5. Keep all the wav files in in data/waveforms// and csv files in data/ .
  6. After that run train.py with appropriate changes to location for csv and data input.

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Fixed-MAML: Speech Emotion Recognition

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