Cross-Referencing Self-Training Network for Sound Event Detection in Audio Mixtures

@article{Park2022CrossReferencingSN,
  title={Cross-Referencing Self-Training Network for Sound Event Detection in Audio Mixtures},
  author={Sangwook Park and David K. Han and Mounya Elhilali},
  journal={ArXiv},
  year={2022},
  volume={abs/2105.13392}
}
Sound event detection is an important facet of audio tagging that aims to identify sounds of interest and define both the sound category and time boundaries for each sound event in a continuous recording. With advances in deep neural networks, there has been tremendous improvement in the performance of sound event detection systems, although at the expense of costly data collection and labeling efforts. In fact, current state-of-theart methods employ supervised training methods that leverage… 
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