Intro
Our evaluation methodology adopted the approach for structural segmentation evaluation outlined in the Harmonix set, which employed Structural Features for boundary identification, and 2D-Fourier Magnitude Coefficients (2D-FMC) for segment labeling based on acoustic similarity. CQT features serve as input features for the algorithm. The algorithm is implemented using Music Structure Analysis Framework (MSAF). For evaluation metrics, the F-measure is reported for the following metrics: Hit Rate with 0.5 and 3-second windows for boundary retrieval, Pairwise Frame Clustering and Entropy Scores for segment labeling. The evaluation is implemented using mir_eval.
Usage
from modelscope import snapshot_download
model_dir = snapshot_download("ccmusic-database/song_structure")
Maintenance
git clone git@hf.co:ccmusic-database/song_structure
cd song_structure
Dataset
https://huggingface.co/datasets/ccmusic-database/song_structure
Mirror
https://www.modelscope.cn/models/ccmusic-database/song_structure
Evaluation
