Source code of the paper entitled as "Noise-tolerant Self-embedded LSTM for Seismic Event Classification", published on IEEE MLSP 2023.

This code was developed using Python 3.8, and you can follow the steps below for project execution:

1. Create a Python virtual environment
2. Install project requirements pip install -r requirements.txt
3. Create a data/ folder, download and save the experiment dataset (originally published on https://doi.org/10.1016/j.dib.2020.105627).
4. Split the dataset into train and test sets to save volcano data and labels using the NPY format. We strongly recommend using the x_y_trainset.npy and x_y_testset.npy names to save the train and test datasets on the data folder.

After doing all the steps, you can run python main.py.