• Corpus ID: 220487200

Overcoming label noise in audio event detection using sequential labeling

@article{Kim2020OvercomingLN,
  title={Overcoming label noise in audio event detection using sequential labeling},
  author={Jae-Bin Kim and Seongkyu Mun and Myungwoo Oh and Soyeon Choe and Yong-Hyeok Lee and Hyung-Min Park},
  journal={ArXiv},
  year={2020},
  volume={abs/2007.05191}
}
This paper addresses the noisy label issue in audio event detection (AED) by refining strong labels as sequential labels with inaccurate timestamps removed. In AED, strong labels contain the occurrence of a specific event and its timestamps corresponding to the start and end of the event in an audio clip. The timestamps depend on subjectivity of each annotator, and their label noise is inevitable. Contrary to the strong labels, weak labels indicate only the occurrence of a specific event. They… 
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References

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