ISMIR 2018: highlights & new format

This was my second ISMIR, and I am super excited of being part of this amazing, diverse, and so inclusive community. It was fun to keep putting faces (and height, and weight) to these names I respect so much! This ISMIR has been very special for me, because I was returning to the city where I kicked off my academic career (5 years ago I was starting a research internship @ IRCAM!), and we won the best student paper award!

Continue reading

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.

Continue reading