Open Set Audio Recognition for Multi-Class Classification With Rejection

@article{Jleed2020OpenSA,
  title={Open Set Audio Recognition for Multi-Class Classification With Rejection},
  author={Hitham Jleed and Martin Bouchard},
  journal={IEEE Access},
  year={2020},
  volume={8},
  pages={146523-146534}
}
Most supervised audio recognition systems developed to this point have used a testing set which includes the same categories as the training set database. Such systems are called closed-set recognition (CSR). However, audio recognition in real applications can be more complicated, where the datasets can be dynamic, and novel categories can ceaselessly be detected. Hence, in practice, the usual methods will assign to these novel classes labels which are often incorrect. This work aims to… 

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