https://github.com/wayne391/sf_segmenter

Music segmentation algorithm, based on SF (structural feature)
https://github.com/wayne391/sf_segmenter

Last synced: 3 months ago
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Music segmentation algorithm, based on SF (structural feature)

• Host: GitHub
• URL: https://github.com/wayne391/sf_segmenter
• Owner: wayne391
• Created: 2020-06-30T09:45:38.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2023-02-08T09:10:55.000Z (over 1 year ago)
• Last Synced: 2024-07-23T01:37:12.902Z (4 months ago)
• Language: Python
• Size: 621 KB
• Stars: 52
• Watchers: 2
• Forks: 4
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

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• project-awesome - wayne391/sf_segmenter - Music segmentation algorithm, based on SF (structural feature) (Python)

README

        
# sf_segmenter

---

Music Segmentation/Labeling Algorithm. Based on SF (Structural feature) method.   

Modified from [MSAF](https://github.com/urinieto/msaf). I simplified the IO for arbitrary input features and quick experiments. 

## Installation 

version: 0.0.1

```

pip install sf-segmenter

```

## Reference

* Serrà, J., Müller, M., Grosche, P., & Arcos, J. L. (2012). Unsupervised Detection of Music Boundaries by Time Series Structure Features. In Proc. of the 26th AAAI Conference on Artificial Intelligence (pp. 1613–1619).Toronto, Canada.

* J. Serrà, M. Müller, P. Grosche and J. L. Arcos, "Unsupervised Music Structure Annotation by Time Series Structure Features and Segment Similarity," in IEEE Transactions on Multimedia, vol. 16, no. 5, pp. 1229-1240, Aug. 2014, doi: 10.1109/TMM.2014.2310701.

## Resources

* audiolabs/FMP course/Chapter 4: Music Structure Analysis: https://www.audiolabs-erlangen.de/resources/MIR/FMP/C4/C4.html