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This work mine sampling annotations from a music database and split them for training and evaluation, finding that naively splitting the annotations places the same tracks in different sets, and constructs a graph from the annotations and split it over connected components.
A unified music identification system can achieve robust performance across track and version identification tasks with just 10 seconds of audio input.
