jishengbai/dcase2019-task5

DCASE2019 TASK5 Urban Sound Tagging

dcase2019-task5: Urban Sound Tagging

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.

Labels

The train labels and val labels are summarised with OR function

Train Run

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

Eval Run

revise the parameters in test_model.py

~/dcase2019-task$ python3 test_model.py