LEARNING A REPRESENTATION FOR COVER SONG IDENTIFICATION USING CONVOLUTIONAL NEURAL NETWORK. ICASSP2020
python -- 3 pytorch -- 1.0 librosa -- 0.63
Second Hand Songs 100K (SHS100K), which is collected from Second Hand Songs website.
You can utilize "gencqt.py" to get CQT features from your own audio.
python main.py multi_train --model='CQTNet' --batch_size=32 --load_latest=False --notes='experiment0'
python main.py test --model='CQTNet' --load_model_path = 'check_points/CQTNet.pth'
https://drive.google.com/file/d/1Rv-NuiAKW2rUlNZj8SOs2Iqidqkx30M8/view?usp=sharing
After using Spectrum Augmentation in training stage, the model performance has a great improvement.
Specaugment: A simple data augmentation method for automatic speech recognition.
| Dataset | MAP |
|---|---|
| YouTube350 | 0.933 |
| Covers80 | 0.860 |
| Mazurkas | 0.933 |
| SHS100K-TEST | 0.71 |