EDAC-COVID19

This repository contains the materials for our research project titled: "Efficient Deployment of Audio Classification Models For COVID-19 Detection". The repository is structured as follows:

📦EDAC-COVID19
 ┣ 📂notebooks
 ┃ ┣ 📜attention_model_graphs.ipynb
 ┃ ┣ 📜brogrammers_model_baseline.ipynb
 ┃ ┣ 📜brogrammers_model_graphs.ipynb
 ┃ ┣ 📜coswara_1_data_extraction.ipynb
 ┃ ┣ 📜coswara_2_data_augmentation.ipynb
 ┃ ┣ 📜coswara_3_Feature_extraction.ipynb
 ┃ ┗ 📜coughvid_dataset_generation.ipynb
 ┣ 📂results
 ┃ ┣ 📜attention_const_sparsity_results.json
 ┃ ┣ 📜attention_polynomial_decay_results.json
 ┃ ┣ 📜brogrammers_const_sparsity_results.json
 ┃ ┗ 📜brogrammers_polynomial_decay_results.json
 ┣ 📂scripts
 ┃ ┣ 📜attention_layer.py
 ┃ ┣ 📜attention_model_5_fold.py
 ┃ ┣ 📜attention_model_baseline.py
 ┃ ┣ 📜attention_model_pruning_parameter_search.py
 ┃ ┣ 📜brogrammers_pruning_parameter_search.py
 ┃ ┣ 📜pitch_shift.py
 ┃ ┣ 📜spec_augment.py
 ┃ ┣ 📜spec_augment_sets.py
 ┃ ┗ 📜utils.py
 ┗ 📜README.md