Learning Normal Patterns in Musical Loops
An unsupervised framework for analyzing audio patterns in musical loops through anomaly detection. Combines HTS-AT feature extraction with Deep SVDD to learn normal patterns without labeled training data, addressing variable-length audio challenges.
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