ISMIR article: End-to-end learning for music audio tagging at scale

Our accepted ISMIR paper on music auto-tagging at scale is now online – read it on arXiv, and listen to our demo!

TL;DR:
1) Given that enough training data is available: waveform models (sampleCNN) > spectrogram models (musically motivated CNN).
2) But spectrogram models > waveform models when no sizable data are available.
3) Musically motivated CNNs achieve state-of-the-art results for the MTT & MSD datasets.

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