DCASE2019 Task5:Urban Sound Tagging is a task to tag audio recordings recorded from urban acoustic sensors. The task includes a fine-grained classification of 23 sound classes and a coarse-grained classification 8 sound classes.
The train labels and val labels are summarised with OR function
0. Installation
Python 3 + tensorflow 1.13 + librosa
1. download data
download development dataset and unzip
2. setup parameters
revise the parameters in load_parameters.py
3. generate features
~/dcase2019-task$ python3 data_generator.py
4. train model
~/dcase2019-task$ python3 train_model.py
revise the parameters in test_model.py
~/dcase2019-task$ python3 test_model.py