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model trained on 4 datasets:

ravdess: https://www.kaggle.com/datasets/uwrfkaggler/ravdess-emotional-speech-audio

tess: https://www.kaggle.com/datasets/ejlok1/toronto-emotional-speech-set-tess

savee: https://www.kaggle.com/datasets/ejlok1/surrey-audiovisual-expressed-emotion-savee

crema: https://www.kaggle.com/datasets/ejlok1/cremad

setup:

  1. git clone [email protected]:winay007/Speech-emotion-recognition.git.

  2. download all 4 datasets provided above.

  3. install required packages mentioned in requirements.txt.

  4. Run cp-speech-recognition-data-prep.ipynb for creating dataset from audio files.

  5. Finally the cp-speech-recognition-model-training.ipynb contains model training code. Go ahead and try different methods for better results or try mine one.

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  • Jupyter Notebook 100.0%