SPCUP2022

Data Set

Download the zip file of the data set from here.

It is recommended to use Anaconda to create a virtual environment before proceeding to run code.
It is recommended to stick to Python 3.7.11
The following are the main requirements:

torch
torchvision
torchaudio
pytorch-lightning
scikit-learn
numpy
pandas
scikitplot
matplotlib
librosa
soundfile
wandb (for logging)

The deep learning parts of the codebase was tested on CUDA 10.1 and cuDNN 7.6.5.

Name		Name	Last commit message	Last commit date
Latest commit History 111 Commits
config		config
datasets		datasets
features		features
matlab		matlab
models		models
notebooks		notebooks
scripts		scripts
tests		tests
utils		utils
.gitignore		.gitignore
.gitmodules		.gitmodules
README.md		README.md
evaluate_classical_model.py		evaluate_classical_model.py
evaluate_cnn_model.py		evaluate_cnn_model.py
evaluate_deep_learning_model.py		evaluate_deep_learning_model.py
main.py		main.py
requirements.txt		requirements.txt
train_cnn.py		train_cnn.py
train_gmm.py		train_gmm.py
train_svm.py		train_svm.py
train_tssdnet.py		train_tssdnet.py