Music Auto-Tagging
12 papers with code • 4 benchmarks • 3 datasets
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Most implemented papers
Multi-Source Contrastive Learning from Musical Audio
Contrastive learning constitutes an emerging branch of self-supervised learning that leverages large amounts of unlabeled data, by learning a latent space, where pairs of different views of the same sample are associated.
Audio Embeddings as Teachers for Music Classification
Music classification has been one of the most popular tasks in the field of music information retrieval.