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AudioSet
- Google's audio dataset that manually annotated audio events
- ontology : https://github.com/audioset/ontology
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Goal
- Augment with various sound situation for speech related tasks.
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Report on research case
- If you wanna study on specific dataset, it can be not effects for getting better result.
- In source separation case, it gets higher losses with audioset augmentation.
- But it gets better result on test cases.
- If you wanna study on specific dataset, it can be not effects for getting better result.
- Installation
- install ffmpeg version 4, and this package
$ apt install -y software-properties-common
$ add-apt-repository ppa:jonathonf/ffmpeg-4
$ apt update
$ apt install -y ffmpeg
$ pip install -e .- Download
- Audioset give us separated meta information that label balanced or not.
- default : balanced
$ python audioset_augmentor/download.py [--file_path='assets/balanced_train_segments.csv' --savedir='.data' --n_jobs=4 --delay=0.05]- Preprocess Audio
- Process adjust volume, sample rate, file type on audio files.
$ python audioset_augmentor/preprocess.py [--master_dir, --out_dir, --meta_path='assets/balanced_train_segments.csv' --out_sr=22050 --min_size=1000000(file checker) --n_jobs=4]- After all, you should set master_dir on assets/default.json for using augment function.
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'Audioset' license is announced on https://research.google.com/audioset/download.html
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File List
- assets/balanced_train_segments.csv
- assets/unbalanced_train_segments.csv
- assets/ontology.json
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The dataset is made available by Google Inc. under a Creative Commons Attribution 4.0 International (CC BY 4.0) license, while the ontology is available under a Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) license.
- Other sources are under MIT License