transformer-cnn-emotion-recognition
Speech Emotion Classification with novel Parallel CNN-Transformer model built with PyTorch, plus thorough explanations of CNNs, Transformers, and everything in between
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- .gitignore
- README.md
- .gitignore
- atten mechanism matrix.png
- autoencoder.png
- bidirectional RNN colah.png
- convolutional layer stanford.gif
- dropout.GIF
- encoder-decoder-attention.png
- filter vis.png
- filter weights.png
- LSTM.jpg
- LSTM.png
- maxpool gif.png
- multihead attention.GIF
- optimization landscape.GIF
- rnn.jpg
- self-attention.GIF
- self-attn-eqn.GIF
- transformer.GIF
- VAE.GIF
- .gitignore
- parallel_all_you_want-119.pkl
- parallel_all_you_wantFINAL-429.pkl
- .gitignore
- .gitignore
- atten mechanism matrix.png
- autoencoder.png
- bidirectional RNN colah.png
- convolutional layer stanford.gif
- dropout.GIF
- encoder-decoder-attention.png
- filter vis.png
- filter weights.png
- LSTM.jpg
- LSTM.png
- maxpool gif.png
- multihead attention.GIF
- optimization landscape.GIF
- rnn.jpg
- self-attention.GIF
- self-attn-eqn.GIF
- transformer.GIF
- VAE.GIF
- .gitignore
- cnn-transformer-final.png
- .gitignore
- Parallel_is_All_You_Want.ipynb
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- cnn-transformer-final.png
- conf_matrix.GIF
- final loss curve.GIF
- MFCCs.GIF
- poor weights zoom.png
- poorly initialized weights.png
- LICENSE
- Parallel_is_All_You_Want.py
- README.md
- requirements.txt
// repository documentation
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