Discogs-VINet-MIREX
Xavier Serra
R.O. Araz
J. Serrà
D. Bogdanov
MIREX 2024
2025
Abstract
This technical report presents our submission to the cover song identification task for the 2024 edition of the Music Information Retrieval Evaluation eXchange (MIREX). For this submission, we enhanced our Discogs-VINet model by changing the definition of an epoch, incorporating automatic mixed precision (AMP) during both training and inference, and sampling four versions per clique during triplet mining (which became possible with AMP). Due to this enhanced model’s performance on the Discogs-VI test set, we trained a new model from scratch using the entire Discogs-VI dataset, rather than just the training partition used in Discogs-VINet (a 45% increase in the number of versions). This enhanced and retrained model is named Discogs-VINet-MIREX.
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