L3DAS22 challenge supporting API
This repository supports the L3DAS22 IEEE ICASSP Grand Challenge and it is aimed at downloading the dataset, pre-processing the sound files and the metadata, training and evaluating the baseline models and validating the final results.
We provide easy-to-use instruction to produce the results included in our paper.
Moreover, we extensively commented our code for easy customization.
For further information please refer to the challenge website and to the challenge documentation.
Installation
Our code is based on Python 3.7.
To install all required dependencies run:
pip install -r requirements.txt
Follow these instructions to properly create and place the kaggle.json file.
Dataset