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Additional material for our ISMIR 2025 paper on "Simple and Effective Semantic Song Segmentation"

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Simple and Effective Semantic Song Segmentation

Supplementary material for the paper

Filip Korzeniowksi and Richard Vogl, "Simple and Effective Semantic Song Segmentation", 26th International Society for Music Information Retrieval Conference (ISMIR), Daejeon, Korea, 2025.

  • annotations: contains the annotations we used for training & evaluation.
  • partitions: contains the partitions we used for each dataset. For training datasets, we provide cross-validation partitions (8-fold-*.txt). For SALAMI, these partitions do not contain any tracks from other datasets such as RWC, Beatles, or Queen. We also provide the exact partitions used in Tables 3 and 4. Again, we tried to make sure to remove any overlap (see the paper for details).
  • predictions: predictions obtained for each model.

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Additional material for our ISMIR 2025 paper on "Simple and Effective Semantic Song Segmentation"

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