transformer-cnn-emotion-recognition
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Speech Emotion Classification with novel Parallel CNN-Transformer model built with PyTorch, plus thorough explanations of CNNs, Transformers, and everything in between
Thanks for the code. I get different results than yours, even though I use the same dataset.  As you can see, the validation loss slightly increases with epocs, while...
How do i get this problem?? I want to solve the problem 
I'm getting the following error in the **Load the Trained Model from Checkpoint for Evaluation** section when trying to load the pre-trained models in the repo. ``` # pick load...
Do you not need to use Position Encoding when using Transformer?
Hi, congrats on the project! I am getting this error, could not figure out what's going on: File "/media/user/hk-data/PycharmProjects/dnn_embeddings_pytorch/train_model.py", line 148, in train_model output = net(x_train) File "/home/user/anaconda3/envs/general_py37/lib/python3.7/site-packages/torch/nn/modules/module.py", line 727,...
Hi IliaZenkov: I wanma quote your papers (traditional method and this method), you can send the DOI of your papers. Looking forward to your reply