SongFormer achieves state-of-the-art strict boundary detection and functional label accuracy in music structure analysis by fusing SSL representations and using learned source embeddings on a new 14k-song corpus and expert benchmark.
To further address data limitations, we establish SongFormDB, a large-scale collection of annotated songs, and SongFormBench, a complementary benchmark suite
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SongFormer: Scaling Music Structure Analysis with Heterogeneous Supervision
SongFormer achieves state-of-the-art strict boundary detection and functional label accuracy in music structure analysis by fusing SSL representations and using learned source embeddings on a new 14k-song corpus and expert benchmark.