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4. Large-Scale Weakly-Supervised Content Embeddings For Music Recommendation And Tagging

Large-Scale Weakly-Supervised Content Embeddings For Music Recommendation And Tagging

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IEEE ICASSP 2020 Virtual Conference May 2020

We explore content-based representation learning strategies tailored for large-scale, uncurated music collections that afford only weak supervision through unstructured natural language metadata and co-listen statistics. At the core is a hybrid training s

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Large-Scale Weakly-Supervised Content Embeddings For Music Recommendation And Tagging

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We explore content-based representation learning strategies tailored for large-scale, uncurated music collections that afford only weak supervision through unstructured natural language metadata and co-listen statistics. At the core is a hybrid training s