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DCASE2019 TASK5 Urban Sound Tagging
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README.md
data_generator.py
dcase_functions.py
functions.py
load_parameters.py
metrics.py
models.py
test_model.py
train_coarse_labels_1.csv
train_fine_labels_1.csv
train_model.py
val_coarse_labels_1.csv
val_fine_labels_1.csv

README.md

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

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