Disambiguating Music Artists at Scale with Audio Metric Learning

3 Oct 2018Jimena Royo-LetelierRomain HennequinViet-Anh TranManuel Moussallam

We address the problem of disambiguating large scale catalogs through the definition of an unknown artist clustering task. We explore the use of metric learning techniques to learn artist embeddings directly from audio, and using a dedicated homonym artists dataset, we compare our method with a recent approach that learn similar embeddings using artist classifiers... (read more)

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